Not applicable.
Not applicable.
This section is intended to introduce various aspects of the art, which may be associated with exemplary embodiments of the present disclosure. This discussion is believed to assist in providing a framework to facilitate a better understanding of particular aspects of the present disclosure. Accordingly, it should be understood that this section should be read in this light, and not necessarily as admissions of prior art.
As a result of work, school, and other obligations, most pet owners cannot be with their pet at every moment of every day. However, some pets, due to various conditions, behaviors, and circumstances, require some form of monitoring throughout each day or at least at particular times. This is particularly true if an owner allows a pet to freely roam a home premises in the owner's absence. There is a need to provide systems, methods and devices that track the location of a pet in a premises and that monitor and guide its behavior in such premises.
So that the manner in which the present application can be better understood, certain illustrations and figures are appended hereto. It is to be noted, however, that the drawings illustrate only selected embodiments and elements of the systems and methods described herein and are therefore not to be considered limiting in scope for the systems and methods as described herein may admit to other equally effective embodiments and applications.
The demographics of pet ownership have been changing. The size of pet dogs has been getting smaller, they stay inside the home longer per day; if not all day. Both young and older individuals are gravitating towards smaller dwellings. Metropolitan living is becoming more popular. As a result, apartments and condominiums in cities and municipalities are easing their restrictions related to dog occupancy in these smaller living spaces. Therefore, a market is being defined based on the needs for these (but not limited) to metropolitan pet owners.
Specifically looking at the needs of this demographic group, some of the more “rural” pet solutions do not apply. Coupled with the new technology platforms available and the prevalence of smart phones and internee availability, new solutions emerge. And in response to the general cry of consumers for products with more features and benefits with less complexity and “hassle”, the systems and methods described herein answer that call.
Consider the reduced size of the pet's home in the metropolitan environment. The pet owners would like control of the pet's allowable whereabouts (stay out of the kitchen, ok in living room etc.), and knowledge of its routine activities (when did she sleep and where?, did she bark?, did she eat, drink and when? etc.). This disclosure provides for the simple set up of a monitoring/tracking/detection/training/avoidance system, easy configuration of system components, and optionally worldwide, real-time access to the information.
The systems and methods described herein include distributing pet beacons in a house at strategic locations to provide monitoring/tracking/detecting/training/avoidance functionality for pets. These devices are designed to periodically transmit a unique identification code along with functional parameters. Currently, such devices transmit signals for a distance of up to 70 meters. They are designed to be either battery or line powered, are small and easily located anywhere in the home. The individual beacons do not have an assigned function under one embodiment. This allows for simple activation and placement. Under one embodiment, beacons send unique identification and health status only (i.e. battery life). Under alternative embodiments, beacons may also transmit minimum and maximum signal strength values and other functional parameters.
The systems and methods described herein include providing pet collar devices. Under an embodiment a pet wears a collar that is designed to receive beacon transmissions, and act upon and/or store the data transmissions. Pet collar devices may also transmit beacon configuration data and summarized collected data from all monitored beacons to one or more smartphone receivers. The collar is also capable of providing positive and negative reinforcement as necessary utilizing a number of different stimulation techniques.
Under one embodiment, beacons comprise Bluetooth® Low Energy beacons. Under alternative embodiments, beacons comprise Bluetooth Low Energy peripherals capable of RF connection. Further, collars may comprise Bluetooth low energy enabled devices that function in a manner analogous to beacons. Bluetooth low energy (BLE) is itself a wireless technology standard for personal area networks. BLE is targeted for very low power devices, i.e. devices that can run on a coin cell battery for months or years. Under an embodiment, Bluetooth enabled beacons/devices may comprise Bluetooth integrated circuit implementations. Updates to embedded code of a Bluetooth enabled device may be accomplished through firmware over the air upgrades. Mobile device operating systems may natively support the Bluetooth low energy wireless communications protocol. Such operating systems include iOS, Android, Windows Phone and BlackBerry, as well as OS X, Linux, and Windows 8.
A smartphone application is described herein that is used to set up, and configure the in-home detection/monitoring system and configure its components. The smartphone application may also be used to monitor and control beacons and/or collar devices and upload monitored data. As one example, the smart phone application, when in range of either a beacon or a collar device may receive data from such devices, collect the data and/or store the data. The smart phone application may also cause action by a device such as the collar or any beacon, manually or automatically. As further described below, the application may wirelessly signal the collar device to apply a corrective action, i.e. apply a stimulus to the corresponding pet. When configuring the system, the application may provide a simple user interface for configuring the system, its components and their functionality.
It should be noted that beacons, the pet collar device(s) and mobile devices may both transmit and receive data. Accordingly, each such component/device may serve a dual function of transmitting and receiving/collecting data as further described below. In the examples provided below, beacons and pet collar devices are Bluetooth enabled but embodiments are not so limited. Further in the examples provided below an operating system of a mobile device (running a smartphone application of the system described herein) natively supports Bluetooth communications. Such operating system also natively supports any other communications protocols as they become available.
Assume that a user implements the tracking/monitoring system within a one bedroom apartment premises/home. Under such embodiment,
As seen in
Under one embodiment, the smartphone application may provide an “easy to use” configuration interface. A pet owner may initiate the application on a smartphone and walk through a set up procedure using the configuration interface. For example, such interface of the application may provide click through buttons for “beacon” and “collar” discovery modes as seen in
Continuing with this configuration example, a user runs the same application on the user's smart phone to configure the collar device for operation. As indicated above, an interface of the application may provide click through buttons for “beacon” and “collar” discovery modes as seen in
In this manner, the application may learn the unique identification number of all premises beacons and the pet collar devices. It should be noted that
A user may use the smartphone application to configure the collar (or collars) for operation, i.e. to configure “collar defined” functions or enable recognition of specific “tag defined” beacons. The collar itself performs a set of “active” and/or “passive” functions. Proximity to a beacon triggers one or more such functions as defined by the user with respect to the particular beacon. In other word, for each deployed beacon the user defines a collar implemented function triggered by the collar's entry into a defined proximity of a particular beacon.
Continuing with this example, an operational pet collar device approaches the particular beacon and crosses over the configured threshold distance. During this event, the particular beacon simply transmits is unique identification number. The collar device receives the signal, identifies the unique identification number, and uses signal strength of the transmission to estimate a distance to the beacon. The collar device then uses the identification number to perform a database lookup to determine the assigned collar function with respect to the beacon (e.g., a negative stimulus) and conditions for its performance (e.g. location of the collar device within a certain threshold distance and permitted time of performance). In this example, the collar determines that the function is delivery of stimulus and also resolves that the estimated distance from collar to beacon is less than the selected threshold distance (via comparison of estimated distance with designated threshold distance). Therefore, the collar device delivers the avoidance stimulus to the pet wearing the collar device. It should be noted that threshold distance may comprise distance from a location or a range of such distances (including an upper and lower boundary).
In the example above, the assigned function comprises a user/collar defined function. In other words, a user may assign functions to collar/beacon combinations. For example, a user may wish to prevent a pet from jumping on the user's couch. Therefore, the user may assign a beacon located near the couch an avoidance function, i.e. assign an avoidance function to a collar with respect to such beacon. However, a user may simply wish to know how often a pet visits a water bowl in daytime hours while the user is away from the premises, i.e. the user may simply wish to track the location of a pet. Accordingly, a user may assign a beacon located near the water bowl a tracking function, i.e. assign a tracking function to a collar with respect to such beacon. The user then assigns the collar device the tracking function via the application in the same way the avoidance function is assigned (as described above). When the pet collar device is within a threshold distance of the beacon (and once the collar device processes conditions for performance of the assigned function based on beacon/function/distance/time parameters), the pet collar device simply logs location data, e.g. the occurrence of a threshold crossing, the time of a threshold crossing, duration of pet's proximity to a beacon, etc.). The tracking beacon may under an embodiment also administer a positive reinforcement such as a positive tone if so configured by the user.
The flexibility of the system is evident in view of a second pet collar device. Within the same monitored premises, the configuration process described above may be used to assign functions to a second collar device with respect to the same set of beacons. This set of functions may be entirely different than those assigned to the first collar. This is possible due to the fact that beacons merely transmit identification numbers while the collar devices detect/extract the identification numbers and then resolve/perform a user defined function based on configuration data stored in a collar specific database.
In contrast to “user defined” functions, a user may also dedicate a specific beacon to a particular task. For example, a user may use the application interface during setup to assign an avoidance function to a beacon directly. An example of directly configuring a beacon defined function using a smartphone application is provided below. A user initiates the smartphone application which under one embodiment provides an interface for assignment of functions directly to beacons.
As indicated above, a user may use the application interface during setup to assign an avoidance function to a beacon directly. During set up operations, the application transmits such configuration data to the specifically tasked beacon. (It should be noted beacons not only transmit data, they may also receive and store data from other beacons or devices). The transmitted data includes “function data” (which encodes the particular function in data packets for inclusion in the beacon's periodic transmissions), threshold distance (and permitted time data under an embodiment). The application may also send the beacon's identification number to the collar device which stores such information. Accordingly, the beacon periodically transmits its identification number, the function data, and a threshold distance (and permitted times under an embodiment) to devices within its range. Under this example, the pet collar device may approach the beacon transmitting the identification number and corresponding data. The collar device then extracts the identification number, the “function data”, distance data (and permitted time data under an embodiment) and uses the signal strength of the transmission to estimate distance from the beacon. The collar device may match the identification number to stored beacon identification numbers to ensure that the particular beacon is part of the configured system, i.e., that the collar device should proceed. The collar device may then match “function data” with function type, e.g. avoidance, tracking, etc., using embedded code within a pet collar. Alternatively, a smartphone application may transmit such data to the collar device during set up operations. Under this example, the function data corresponds to an avoidance task, i.e. delivery of negative stimulus. The collar device then resolve whether the device is within the designated threshold distance (and within appropriate time interval under an embodiment). If so, the collar device executes the assigned function, i.e. delivers the negative stimulus.
Under one embodiment, a home detection kit may ship with a collar and corresponding beacons. A user may first register the smart phone application with a company provided internet service. Registration may provide the application with the unique device identification numbers of the beacons and the collar(s). Alternatively, the application may discover identification numbers during configuration as described in detail above.
Under one embodiment, a pet owner/user deploys beacons in a home. The user simply locates beacons in areas of interest. The pet owner uses a collar, in conjunction with a smartphone application to assign “Avoid” and/or “Track” functions to collar/beacon combinations. As an example of assigning an “Avoid” function (using the procedures already described in detail above), a user first places a red sticker on a beacon. The user then approaches the beacon with a mobile device running the smartphone application. The application/device reads the unique identification of the beacon and reads receiver signal strength indication (RSSI) value. The application then communicates with the collar to assign collar a function of the particular beacon when the pet collar is within a set range of the beacon. If the pet collar comes within a configured distance of the particular beacon, the collar triggers a negative stimulus and stores the time of the event under an embodiment.
As an example of assigning a “Track” function (using the procedures already described in detail above), a user first places a green sticker on beacon. The user then approaches the beacon with a mobile device running the smartphone application. The application/device reads the unique identification of the beacon and reads receiver signal strength indication (RSSI) value. The application then communicates with the collar to assign collar a function of the particular beacon when the pet collar is within a set range of the beacon. If the pet collar comes within a configured distance of the particular beacon, the collar will log the occurrence of the event and/or emit a positive reinforcement stimulus under an embodiment. The collar may also store the time of the event.
As the pet wearing the collar moves about the home, the collar collects data while controlling the pet's whereabouts through stimulus events triggered by proximity to “red” beacons and tracked events triggered by proximity to “green” beacons. When the collar is within range of the smart phone application, the collar transmits all collected/queued data to the application which may then display such information. A user may also deliver immediate Avoid/Track commands to the collar.
Under one embodiment, Bluetooth LE modules are used in the beacons and collars of the systems and methods described above. Alternatively, unique RF beacons may be specially designed for this detection/tracking/monitoring system described herein.
Under one embodiment, one or more of a pet collar device, a beacon, and smartphone may be communicatively coupled via Wi-Fi or WPAN communications protocols to a local router to provide a communicative coupling with wide area networks, metropolitan area networks and with the internet in general. Each such device therefore is communicatively coupled to a remote cloud computing platform comprising one or more applications running on at least one processor of a remote server. Accordingly, the collar/beacons/smartphone may transmit data to and/or receive data from a cloud computing platform.
Under one embodiment, beacons may comprise a green and red side. If placed with green side up, the beacon may be automatically configured as a “Track” location. If placed with red side up, the beacon may be automatically configured as an “Avoid” location.
It is understood that the systems and method described herein are merely illustrative. Other arrangements may be employed in accordance the embodiments set forth below. Further, variations of the systems and method described herein may comply with the spirit of the embodiments set forth herein.
Systems and methods for monitoring a subject in a premises are described above in detail. In accordance with such disclosure,
Under the embodiment described above, a monitoring/tracking/detection system includes one or more collar devices, one or more beacons, and at least one smartphone running an application and providing user interaction with such system. However, an additional embodiment of the monitoring/tracking/detection system may include additional sensors or devices that proactively monitor and manage the health and well being of a subject under observation within the protected/monitored premises. These additional sensors/devices include collar device sensors, environmental sensors, and action or activity sensors. However, it should be noted that these additional sensors/devices of a monitoring/tracking/detection system may represent one or more components from any single sensor/device category or from any combination of sensor/device categories.
Collar Device Sensors
The collar device itself may include sensing devices for monitoring the health and well being of a subject wearing the collar device. These sensing devices may monitor biological and physiological metrics of a subject wearing the collar device. The sensing devices may also monitor motion and activity parameters of a subject wearing the collar device. The subject may comprise an animal but embodiments are not so limited. Under this embodiment, the collar device includes one or more of the following monitoring/sensing devices:
It should be noted that a collar device is not limited to traditional configurations of a collar. Rather, a collar device may comprise any wearable device that may position sensor devices at various physical locations on the subject wearing the device.
Environmental Sensors
Environmental sensors may be distributed throughout the premises of a monitoring/tracking/detection system. These sensors monitor and detect environmental parameters of a premises. Environmental sensors may include temperature sensors, moisture sensors, humidity sensors, air pressure sensors and/or air quality condition sensors. However, a monitoring/tracking/detection system may clearly incorporate fewer or additional numbers and types of environmental sensors. Such environmental sensors may be directly attached to or incorporated within a beacon. Under this embodiment, environmental sensors are electronically connected to a beacon. Alternatively, environmental sensors may be located in proximity to beacons. Under this embodiment, environmental sensors may be in wired or wireless communication with beacons. Under another embodiment, environmental sensors may be located in a position to detect an overall condition of an environment. Under the embodiments described above, environmental sensors (i) may communicate directly with a collar device or (ii) may communicate with a collar device through an intermediate beacon device. Environmental sensors are Bluetooth enabled under an embodiment and capable of Bluetooth Low Energy protocol communications.
Activity Devices
Activity or action devices may be distributed throughout the premises of a monitoring/tracking/detection system. Under one embodiment, an activity device may be electrically connected to or incorporated within another device. For example, activity devices may represent switches which control the operation or function of yet other devices, e.g. the flow of water in a dispensing device, the management of food volume/type in a food dispensing device, etc. Further, an activity device may represent a switch that monitors thermostat levels. As another example, an activity device may itself comprise a toy or audio playback device. Such devices are Bluetooth enabled under an embodiment and capable of Bluetooth Low Energy protocol communications.
Of course it should be noted that fewer or additional numbers and/or types of collar device sensors, environmental devices and activity devices may be included in the monitoring/tracking/detection system of an embodiment.
Note that
Operation of a “pro-active health and well being” monitoring/tracking/detection system involves the interaction of Bluetooth enabled collar device sensors, environmental sensors and/or activity devices. As indicated above, the collar device itself includes sensors that monitor biological, physiological, and motion parameters of a subject roaming the environment of a monitored premises. The environmental sensors simultaneously monitor and detect the environmental conditions of the premises. Each environmental sensor then periodically transmits such monitored/detected data. Each such environmental sensor may pair (or be associated) directly with a corresponding beacon, i.e. a particular beacon may detect, receive and store data periodically transmitted by an associated environmental sensor data. The beacon may then bundle the received sensor data into its own periodic broadcast transmissions. Recall from the discussion above that beacons and collar devices interact within a premises under a collar defined mode or beacon defined mode. Under a collar defined mode, a beacon periodically transmits an identification number (along with other data). A collar moving within communications range of a beacon receives the transmission and extracts the identification number. The collar device then uses internal data tables to match the identification number with avoidance/interaction functions. Alternatively, the beacon may itself determine the behavior of the collar device, i.e. the beacon may transmit identification and function data to an “in range” collar device. Under either configuration, a beacon may simply incorporate collected environmental sensor data into its periodic transmission such that “in range” collar devices in turn detect environmental sensor data associated with a particular beacon. Alternatively, each environmental sensor may periodically transmit data for detection by any “in range” collar device roaming within the wireless communications network of the overall monitoring/tracking/detection system. Environmental sensor transmissions may under an embodiment include unique identification numbers for use by components of a monitoring/tracking/detection system
Environmental sensors may be associated with particular beacons or may be positioned to monitor an overall environmental condition of a premises. In this manner, environmental sensors may monitor micro-environmental conditions near or with respect to particular beacons or macro-environmental conditions within a premises.
In operation of a “proactive health and well-being” monitoring/tracking/detection system, a collar device collects a wealth of information as it roams throughout the monitored premises. First, the collar device may collect data with respect to avoidance/tracking events (otherwise referred to herein as avoidance/interaction events) triggered by proximity to particular beacons. (Note that avoidance/tracking events and the logging of information related thereto are disclosed in great detail above). Second, the collar device includes one or more sensors for monitoring/tracking/detecting physiological and motion metrics associated with a subject wearing the collar. Third, the collar device detects and receives data from environmental sensors that are (i) distributed throughout the premises and/or (ii) located within a beacon. The collar device may collect and process avoidance/interaction data, collar device sensor data (including physiological and motion activity data of a subject wearing the collar), and/or environmental sensor data to determine particular needs. As just one example and as further described below, the combination of avoidance/interaction data, physiological condition data, and/or environmental sensor data may indicate that an animal wearing the collar is not eating or drinking appropriate quantities of food/water.
Based on a determination of need, i.e. the need to induce increased intake of food/water, the collar device may interact with action or activity devices distributed throughout the premises, i.e. the collar device may activate functional changes in activity devices in order to address the need. For example, an activity device may represent Bluetooth enabled switches which control the operation or function of yet other devices. For example, if the collar device determines a need to induce increased intake of water, the collar device may communicate with a Bluetooth enabled switch that toggles a fountain motor of a water bowl. The communication may activate the fountain motor in order to encourage drinking of water. Under this embodiment, the collar device is communicatively coupled to the activity device through the WPAN network described above with respect to
As indicated above, a collar device may collect and process avoidance/interaction data, collar device sensor data (including physiological conditions and motion activity of a subject wearing the collar), and environmental sensor data to determine particular needs. It should be noted that a collar device may determine a need using any single type of data, i.e. avoidance/interaction, collar device sensor, and environmental, or using any combination of data types. Once a need is determined, the collar device may determine and direct functional changes of activity devices within the premises of a monitoring/tracking/detecting system. The collar device may exchange data directly with action/activity devices or may communicate with action/activity devices through beacons associated or paired with such activity devices. Accordingly, data collection and analysis may be conducted by a collar device. However, data collection and analysis may also take place at a cloud computing level.
As described above with respect to
As described above, the collar/beacons/smartphone, environmental sensors, and/or activity devices may transmit data to and/or receive data from a cloud computing platform. Under this embodiment, a collar device may collect and forward avoidance/interaction data, collar device sensor data (including physiological conditions and/or motion activity of a subject wearing the collar), and/or environmental sensor data. In other words, a collar device may collect and forward such data to a remote application running on a remote computing platform. The remote application may then transmit this data to an application running on a smartphone or other mobile computing platform. The smartphone application may then analyze the data to determine a particular need of a subject wearing the collar device. Once a need is determined, the smartphone application may determine and direct functional changes of activity devices within a premises of a monitoring/tracking/detecting system. The smartphone application may then transmit functional change information to the remote application running on at least one processor of a remote server.
Under one embodiment, the smartphone application determines a need based on any single type of data, i.e. avoidance/interaction, collar device sensor, and environmental, or based on any combination of data types. The smartphone application may present the user an interface alerting the user of any currently identified need. The interface may also recommend a course of action to address the need, i.e. recommend particular action or operation of an activity device to address the need. The user may select or ignore recommend courses of action. The smartphone application may then communicate function change information to the remote computing platform which may then process such information in a manner already described above.
The user may use the smartphone application to configure automated cloud computing platform or collar device responses to identified needs. As already indicated above, a collar device, remote computing platform, or smartphone application may analyze avoidance/interaction data, collar device sensor data, and/or environmental sensor data. A collar device, remote computing platform, or smartphone application may determine a need using any single type of data, i.e. avoidance/interaction, collar device sensor, and environmental, or using any combination of data types. In other words, a need may comprise any single instance or combination of avoidance/interaction data, collar device sensor data, and environmental data. The user may use the smartphone application to associate activity device action with defined instances or combinations of avoidance/interaction data, collar device sensor data, and environmental data. The smartphone application, collar device or remote computing platform may then automatically apply remedies, i.e. activity device action, upon detection/identification of corresponding needs.
The smartphone application may provide the user with remote activity device control. As opposed to automating activity device responses and as opposed to accepting or rejecting activity device recommendations, the user may simply manually control premises activity devices. As already indicated above (and further described in great detail below), the user may be alerted of premises activity, i.e. detected/identified needs, through a smartphone application interface. The user may then manually direct in premises activity devices to perform specific functions or operations in order to address the detected/identified need.
The following disclosure provides Use Case Examples of a “proactive health and well-being” monitoring/tracking/detection system. For purposes of providing the Use Case Examples, assume the collar device includes the following sensors for measuring biological and physiological metrics of a subject wearing the collar device: Heart Rate Sensor, Electrocardiogram, Blood Pressure Sensor, Respiration Rate Sensor and Temperature Sensor. Such devices indicate physiological conditions in real time. The collar device may also include an Activity Monitor (e.g. accelerometer and gyroscope) which indicates real time physical activity levels of the subject wearing the collar device. Further with respect to the Use Case Examples described below, assume that environmental sensors are distributed throughout a premises of a monitoring/tracking/detection system. With respect to the examples provided below, environmental sensors include temperature, moisture, humidity, air pressure and/or air quality condition sensors. In addition, activity devices are also distributed throughout the premises. Activity devices may control the function, operation, or performance of additional devices. For example, an activity device may control the level of a thermostat or a dispensing mechanism of a food/water dispenser. As already described in great detail above, a collar device (including collar device sensors), beacons, environmental sensors, and activity devices are communicatively coupled through a Wireless Personal Area Network (WPAN). Under this embodiment, the WPAN enables wireless communications among such devices using Bluetooth Low Energy communication protocols. It should be noted that Use Case Examples may include additional types and numbers of collar sensors, environmental sensors and activity devices as required by the particular example.
The collar device receives, monitors and collects avoidance/interaction data, collar device sensor data (including physiological condition data and activity level data), and/or environmental sensor data. The collar device may combine a subset of physiological conditions, physical activity levels, environmental sensor data, and/or interaction events (with respect to food and water bowls) to determine if intake requirements are being met. If not, then . . .
The collar device receives, monitors and collects avoidance/interaction data, collar device sensor data (including physiological condition data and activity level data), and/or environmental sensor data. Accordingly, the collar device may monitor the physical activity sensor to determine if too much or too little physical activity is occurring. If change is needed, then . . .
The collar device receives, monitors and collects avoidance/interaction data, collar device sensor data (including physiological condition data and activity level data), and/or environmental sensor data. Accordingly, the collar device may monitor the number of avoidance events encountered. If a limit is exceeded, then . . .
The collar device receives, monitors and collects avoidance/interaction data, collar device sensor data (including physiological condition data and activity level data), and/or environmental sensor data. Accordingly, the collar device may monitor a subset of physiological conditions and physical activity levels to determine if medicine should be introduced. If so, the collar device may cause an automatic dispenser to release medication.
The collar device receives, monitors and collects avoidance/interaction data, collar device sensor data (including physiological condition data and activity level data), and/or environmental sensor data. Accordingly, a collar device may process data from a water bowl sensor indicating the water bowl level. If the level indicates low levels, then the collar device may communicate with and command a valve to open within the water bowl to refill (i.e. increase) the water level.
The collar device receives, monitors and collects avoidance/interaction data, collar device sensor data (including physiological condition data and activity level data), and/or environmental sensor data. Accordingly, a collar device may receive/process data from a food dispenser sensor indicating that the food dispenser is in a jammed state. The collar may then report the condition to at least one application running on a remote server, i.e. the cloud computing platform. In turn the cloud computing platform may use general internet connectivity to forward alerts regarding the condition to a smartphone application. The cloud computing platform may provide such alerts via text message, email, or smartphone application interface. In such manner, a user may remotely monitor the status of the food dispenser.
The collar device receives, monitors and collects avoidance/interaction data, collar device sensor data (including physiological condition data and activity level data), and/or environmental sensor data. Accordingly, a collar device may process data from a body weight scale. If the weight is above or below an ideal value, then . . .
The collar device receives, monitors and collects avoidance/interaction data, collar device sensor data (including physiological condition data and activity level data), and/or environmental sensor data. Accordingly, the collar device may process data from a noise monitor sensor within the premises. If the noise level is over a prescribed limit, then . . .
The collar device receives, monitors and collects avoidance/interaction data, collar device sensor data (including physiological condition data and activity level data), and/or environmental sensor data. Accordingly, the collar device may monitor and process data from co-located biological sensors indicating health status. Such sensors may be external to the subject and may monitor biological features of a subject from a distance. The collar may then report the monitored features to at least one application running on a remote server, i.e. the cloud computing platform. In turn the cloud computing platform may use general internet connectivity to forward alerts regarding such features to a smartphone application. The cloud computing platform may provide such alerts via text message, email, or smartphone application interface.
It should be noted that in the Use Case Examples provided above, the collar device analyzes avoidance/interaction data, collar device sensor data, and environmental sensor data to identify conditions and needs within the monitored premises. The collar device may then communicate with and command activity devices to perform certain functions to address such need or condition. In each Use Case Example, the collar device may then report the conditions, needs, and actions to at least one application running on a remote server, i.e. the cloud computing platform. In turn the cloud computing platform may use general internet connectivity to forward conditions, needs, and actions in the form of alerts or notifications to a smartphone application. The cloud computing platform may provide such alerts or notifications via text message, email, or smartphone application interface. In such manner, a user may remotely monitor the status of a monitoring/tracking/detecting system in real time.
It should be noted that in the Use Case Examples above, the collar device collects and analyzes avoidance/interaction data, collar device sensor data (including physiological conditions of a subject wearing the collar), and environmental sensor data in order to determine needs. The collar device then interacts with action/activity devices to address the need. However, the collar device may simply collect and forward such critical data to a remote application running on a remote computing platform which may then analyze the data to determine a particular need of a subject wearing the collar device. Once a need is determined, the remote application may determine and direct functional changes of activity devices within a premises of a monitoring/tracking/detecting system. The remote application may communicate with a collar device which then transmits function change information to activity devices to trigger actions designed to address the identified need. Further (and as already described above), the smartphone application may itself analyze collar device, environmental, and/or avoidance interaction data to diagnose needs and may itself direct function changes within the premises.
It should be noted that in the disclosure and examples provided above, activity devices generally control operation and performance of certain other devices with the monitored premises. However, such activity devices may themselves function as environmental sensors in the embodiments described above.
The wireless network of
An embodiment of a system is described herein that comprises at least one communications module, a wearable device, and an application running on a processor of a mobile computing device, wherein the at least one communications module, the wearable device, and the mobile device application are communicatively coupled. The system includes at least one application running on one or more processors of a server remote from the at least one communications module, the wearable device, and the mobile device application, wherein the at least one application is communicatively coupled with the at least one communications module, the wearable device, and the mobile device application. The system includes placing each communications module at a location in a premises, wherein each communications module periodically transmits a unique number, wherein the mobile device application detects each unique number of the at least one communications module. The system includes the mobile device application organizing linking information, the organizing linking information comprising linking each unique number of the at least one communications module with a function, wherein the mobile device application transmits the linking information to the wearable device. The system includes the wearable device detecting a transmission of a communications module of the at least one communications module, the wearable device using information of the detected transmission to identify the unique number of the communications module, the wearable device using the linking information to identify the function corresponding to the unique number, the wearable device performing the function when at least one criterion is met. The system includes the wearable device transmitting premises information to one or more of the at least one application and the mobile device application, wherein the premises information includes information of the performed function. The system includes one or more of the wearable device, the at least one application and the mobile device application using the premises information to determine a need of the subject wearing the wearable device.
The organizing the linking information of an embodiment includes linking each unique number of the at least one communications modules with a distance value.
The wearable device of an embodiment uses information of the detected transmission to estimate a distance from the wearable device to the location of the communications module.
The wearable device of an embodiment uses the linking information to identify the corresponding distance value.
The meeting the at least one criterion comprises under an embodiment the estimated distance being less than the distance value.
The meeting the at least one criterion comprises under an embodiment the estimated distance being greater than the distance value.
The meeting the at least one criterion comprises under an embodiment the estimated distance being between a range of distance values.
The wearable device stores the linking information in a database under an embodiment.
The wearable device using the linking information comprising a database lookup under an embodiment.
The performed function comprises logging the information of the performed function under an embodiment.
The logged information includes under an embodiment one or more of a time, an occurrence, and a duration of the performed function.
The logging the information comprises under an embodiment associating the time and the occurrence with the unique number of the communications module.
The performed function comprises under an embodiment an avoidance function, wherein the avoidance function comprises applying a negative stimulus to a user of the wearable device.
The performed function comprises under an embodiment a tracking function, wherein the tracking function comprises applying a positive stimulus to a user of the wearable device.
The linking each unique number comprising under an embodiment linking each unique number with a permitted time, the wearable device using the linking information to identify the corresponding permitted time, wherein the meeting the at least one criterion includes a time of the performed function comprising the permitted time.
The linking each unique number under an embodiment comprising linking a first unique number with a first function and a first permitted time.
The linking each unique number under an embodiment comprising linking a second unique number with a second function, and a second permitted time.
The first function is different than the second function under an embodiment.
The first permitted time is different than the second permitted time under an embodiment.
The need of the subject wearing the device includes under an embodiment at least one of a need to modify levels of physical activity, a need to modify occurrences of the performed function, a need to modify environmental conditions, a need to control food consumption, a need to control water consumption, a need to receive medicine, a need to receive nutritional supplements, and a need to receive vitamins.
The premises includes under an embodiment one or more activity devices, wherein the one or more activity devices are communicatively coupled with the at least one communications module, the wearable device, the mobile device application, and the at least one application.
The one or more of the wearable device, the at least one application and the mobile device application determine under an embodiment at least one action of the one or more activity devices to address the need.
The one or more of the wearable device, the at least one application and the mobile device application communicate under an embodiment with the one or more activity devices to perform the at least one action.
The one or more activity devices include under an embodiment a device controlling thermostat levels, a device controlling lighting, a device controlling humidity levels, a device controlling operation and function of dispensing devices, a toy device, an audio playback device, a video playback device, a sound control device, and a gatekeeping device.
The at least one action includes under an embodiment the one or more activity devices controlling access to premises locations, adjusting dispensing levels of a food dispensing device, adjusting dispensing levels of a water dispensing device, adjusting temperature levels, adjusting humidity levels, adjusting lighting, adjusting sound levels, activating toy devices, controlling audio playback devices, controlling video playback devices and/or introducing medicines or vitamins through a dispensing device.
The one or more of the wearable device, the at least one application and the mobile device application under an embodiment use the premises information to generate alerts for delivery to an interface of the mobile device application.
The at least one communications module includes under an embodiment one or more environmental sensors.
The one or more environmental sensors of an embodiment collect environmental data of the premises under an embodiment.
The collected environmental data of the premises of an embodiment includes timing of occurrence with respect to the collected environmental data under an embodiment.
The premises information includes the collected environmental data under an embodiment.
Each communications module of an embodiment periodically transmitting the unique number includes periodically transmitting the collected environmental data, the using information of the detected transmission of an embodiment includes extracting the collected environmental data.
The one or more environmental sensors of an embodiment include at least one of a temperature sensor, a moisture sensor, a humidity sensor, an air pressure sensor, and an air quality sensor.
The wearable device of an embodiment includes one or more physiological sensors.
The one or more physiological sensors of an embodiment collect physiological data of the subject wearing the wearable device.
The collected physiological data of an embodiment includes timing of occurrence with respect to the collected physiological data.
The one or more physiological sensors of an embodiment include a heart rate sensor, electrocardiogram, a blood pressure sensor, a respiration rate sensor, and temperature sensor.
The premises information of an embodiment includes the collected physiological data.
The wearable device of an embodiment includes at least one activity sensor, wherein the at least one activity sensor collects motion and orientation data of the subject.
The premises information of an embodiment includes the collected motion and orientation data.
The motion and orientation data of an embodiment includes timing of occurrence with respect to collected motion and orientation data.
The at least one activity sensor of an embodiment includes an accelerometer and/or a gyroscope.
The premises of an embodiment includes at least one biological sensor located external to the subject wearing the collar device, the at least one external biological sensor collecting biological data of the subject.
The biological data of an embodiment includes timing of occurrence of the collected biological data.
The at least one external biological sensor of an embodiment includes a heart rate sensor, a respiration sensor, and a temperature sensor.
The premises information of an embodiment includes the collected biological data.
The at least one communications module, the wearable device, and the mobile device application are communicatively coupled under an embodiment through a Wi-Fi or WPAN enabled communications network.
The at least one communications module, the wearable device, and the mobile device application are under an embodiment communicatively coupled through a Wi-Fi or WPAN enabled communications network with at least one of a local area network (LAN), metropolitan area network (MAN), wide area network (WAN), the internet, a mobile network, and a cellular network.
The at least one application is under an embodiment communicatively coupled with the at least one of a local area network (LAN), metropolitan area networks (MAN), wide area network (WAN), the internet, a mobile network, and a cellular network
An embodiment of a system is described herein that includes at least one communications module, a wearable device, and an application running on a processor of a mobile computing device, wherein the at least one communications module, the wearable device, and the mobile device application are communicatively coupled. The system includes at least one application running on one or more processors of a server remote from the at least one communications module, the wearable device, and the mobile device application, wherein the at least one application is communicatively coupled with the at least one communications module, the wearable device, and the mobile device application. The system includes placing each communications module at a location in a premises, wherein the mobile device application transmits to the wearable device identification information, the identification information comprising a corresponding unique number for each communications module of the one or more communications modules, wherein the wearable device stores the identification information. The system includes the mobile device application transmitting data to the at least one communications module, the transmitting data including transmitting a function for each communications module of the at least one communications module. The system includes each communications module of the at least one communications module periodically transmitting a corresponding unique number and a corresponding function. The system includes the wearable device detecting a transmission of a communications module of the at least one communications module, the wearable device using information of the detected transmission to identify the unique number of the communications module and the transmitted function. The system includes the wearable device locating a presence of the unique number in the stored identification information, wherein upon the locating, the wearable device performs the function if at least one criterion is met. The system includes the wearable device transmitting premises information to one or more of the at least one application and the mobile device application, wherein the premises information includes information of the performed function. The system includes one or more of the wearable device, the at least one application and the mobile device application using the premises information to determine a need of the subject wearing the wearable device.
An embodiment of a system is described that includes at least one communications module, a wearable device, an application running on a processor of a mobile computing platform, and a plurality of activity devices, wherein the at least one communications module, the wearable device, the application, and the plurality of activity devices are communicatively coupled through wireless communications. The system includes the at least one communications module including at least one environmental sensor, wherein the at least one environmental sensor detects environmental sensor information of a premises.
The system includes placing each communications module at a location in the premises, wherein each communications module periodically transmits a unique number and the detected environmental sensor information, wherein the application detects each unique number of the at least one communications module. The system includes the application organizing linking information, the organizing linking information comprising linking each unique number of the at least one communications module with a distance value and a function, wherein the application transmits the linking information to the wearable device. The system includes the wearable device including one or more sensors that monitor physiological and motion data of a subject wearing the wearable device. The system includes the wearable device detecting a transmission of a communications module of the at least one communications module, the wearable device using information of the detected transmission to extract the detected environmental sensor information, to identify the unique number of the communications module and to estimate a distance from the wearable device to the location of the communications module, the wearable device using the linking information to identify the corresponding function and distance value, the wearable device performing the function when the estimated distance meets at least one criterion with respect to the distance value. The system includes the wearable device using at least one of information of the detected environmental sensor information, information of the performed function, and information of the monitored physiological and motion data to determine a need of the subject wearing the wearable device, wherein the wearable device communicates with at least one activity device of the plurality of activity devices to address the need through an action of the at least one activity device.
A system is described herein that comprises under one embodiment at least one communications module, a wearable device, and an application running on a processor of a computing platform, wherein the at least one communications module, the wearable device and the application are communicatively coupled through wireless communications. The system includes placing each communications module at a location in a premises, wherein each communications module periodically transmits a unique number, wherein the application detects each unique number of one or more communications modules selected from the at least one communications module. The system includes the application organizing linking information, the organizing linking information comprising linking each unique number of the one or more communications modules with a distance value and a function, wherein the application transmits the linking information to the wearable device. The system includes the wearable device detecting a transmission of a communications module of the one or more communications modules, the wearable device using information of the detected transmission to identify the unique number of the communications module and to estimate a distance from the wearable device to the location of the communications module, the wearable device using the linking information to identify the corresponding function and distance value, the wearable device performing the function when the estimated distance meets at least one criterion with respect to the distance value.
The wearable device under an embodiment stores the linking information in a database.
The wearable device using the linking information comprising a database lookup under an embodiment.
The application detecting each unique number includes storing each unique number under an embodiment.
The at least one criterion comprises the estimated distance being less than the distance value under an embodiment.
The at least one criterion comprises the estimated distance being greater than the distance value under an embodiment.
The at least one criterion comprises the estimated distance being between a range of distance values under an embodiment.
The wearable device comprises a collar under an embodiment.
The animal under an embodiment wears the collar.
The computing platform under an embodiment comprises one or more of a smartphone, tablet, desktop computer, laptop computer and mobile computing device.
The performed function comprises under an embodiment logging information of the performed function.
The logged information under an embodiment includes one or more of a time, an occurrence, and a duration of the performed function.
The logging the information under an embodiment comprises associating the time and the occurrence with the unique number of the communications module.
The wearable device transmits the logged information to the application under an embodiment.
The application provides access to the logged information through an electronic interface under an embodiment.
The performed function comprises an avoidance function, wherein the avoidance function comprises applying a negative stimulus to a user of the wearable device under an embodiment.
The performed function comprises a tracking function under an embodiment, wherein the tracking function comprises applying a positive stimulus to a user of the wearable device.
The linking each unique number comprising under an embodiment linking each unique number with a permitted time, the wearable device using the linking information to identify the corresponding permitted time, the wearable device performing the function when a time of the performing comprises the permitted time.
The linking each unique number under an embodiment comprising linking a first unique number with a first distance value, a first function and a first permitted time.
The linking each unique number comprising under an embodiment linking a second unique number with a second distance value, a second function, and a second permitted time.
The first distance value is different than the second distance under an embodiment.
The first function is different than the second function under an embodiment.
The first permitted time is different than the second permitted time under an embodiment.
The application organizing linking information comprises under an embodiment organizing first linking information for a first wearable device, wherein the first linking information includes the linking information and the first wearable device includes the wearable device.
The application organizing linking information comprises under an embodiment organizing second linking information for a second wearable device.
The first linking information is different than the second linking information under an embodiment.
The wireless communications comprises under an embodiment a Bluetooth low energy communications protocol.
The at least one communications module comprises a Bluetooth enabled device under an embodiment.
The wearable device comprises a Bluetooth enabled beacon under an embodiment.
The application provides an electronic interface under an embodiment.
The application detecting each unique number of one or more communications modules selected from the at least one communications module comprises under an embodiment selecting the one or more communications modules using the electronic interface.
The organizing linking information includes under an embodiment using the electronic interface to link each unique number with a distance value and a function.
The one or more of the wearable device, the at least one communications module, and the computing platform are under an embodiment communicatively coupled via Wi-Fi connection to a local router, local area network or local personal area network.
The coupling provides internet connectivity under an embodiment.
The one or more of the wearable device, the at least one communications module, and the computing platform is under an embodiment communicatively coupled with a cloud computing platform comprising one or more applications running on at least one processor of a remote server.
The one or more of the wearable device, the at least one communications module, and the computing platform under an embodiment at least one of transmit data to and receive data from the computing platform.
A system under one embodiment is described herein that includes at least one communications module, a wearable device, and an application running on a processor of a computing platform, wherein the at least one communications module, the wearable device and the application are communicatively coupled through wireless communications, wherein each communications module of the at least one communications module corresponds to a unique number. The system includes placing one or more communications modules of the at least one communications module at a location in a premises, wherein the application transmits to the wearable device identification information, the identification information comprising a corresponding unique number for each communications module of the one or more communications modules, wherein the wearable device stores the identification information. The system includes the application transmitting data to the one or more communications modules, the transmitting the data comprising transmitting a corresponding function and distance value for each communications module of the one or more communications modules. The system includes a communications module of the one or more communications modules periodically transmitting a corresponding unique number, a corresponding function and a corresponding distance value. The system includes the wearable device detecting a transmission of the communications module, the wearable device using information of the detected transmission to identify the unique number of the communications module, the transmitted function, and the transmitted distance value and to estimate a distance from the wearable device to the location of the communications module. The system includes the wearable device locating a presence of the unique number in the stored identification information, wherein upon the locating, the wearable device compares the transmitted distance value with the estimated distance and performs the transmitted function when the estimated distance meets at least one criterion with respect to the transmitted distance value.
The at least one criterion under an embodiment comprises the estimated distance being less than the transmitted distance value.
The at least one criterion under an embodiment comprises the estimated distance being greater than the transmitted distance value.
The at least one criterion under an embodiment comprises the estimated distance being between a range of transmitted distance values.
The performed function under an embodiment comprises logging information of the performed function, wherein the logged information includes a time and an occurrence of the performed function.
The logging the information under an embodiment comprises associating the time and the occurrence with the unique number of the communications module.
The performed function comprises under an embodiment an avoidance function, wherein the avoidance function comprises applying a negative stimulus to a user of the wearable device.
The performed function under an embodiment comprises a tracking function, wherein the tracking function comprises applying a positive stimulus to a user of the wearable device.
A method is described herein that under one embodiment comprises placing a wearable device on a subject that is mobile within a premises. The method includes placing communications modules at one or more locations in the premises, wherein each communications module periodically transmits a unique number, wherein an application running on a processor of a computing platform detects and stores each unique number of one or more communications modules selected from the at least one communications module, wherein the communications modules, the wearable device, and the application are communicatively coupled through wireless communications. The method includes organizing linking information by linking each unique number of the one or more communications modules selected from the at least one communications module with a distance value and a function, wherein the organizing comprises the application organizing the linking information and transmitting the linking information to the wearable device. The method includes the wearable device detecting a transmission of a communications module of the one or more communications modules. The method includes the wearable device using information of the detected transmission to identify the unique number of the communications module and to estimate a distance from the wearable device to a location of the communications module. The method includes the wearable device using the linking information to identify the function and distance value corresponding to the communications module. The method includes the wearable device performing the function when the estimated distance meets at least one criterion with respect to the distance value.
The at least one criterion comprises under an embodiment the estimated distance being less than the distance value.
The at least one criterion comprises under an embodiment the estimated distance being greater than the distance value.
The at least one criterion comprises under an embodiment the estimated distance being between a range of distance values.
A method is described herein that under one embodiment comprises placing a wearable device on a subject that is mobile within a premises. The method includes placing one or more communications modules at a location in the premises. The method includes one or more applications running on at least one processor of a computing platform transmitting identification information to the wearable device, wherein the one or more communications modules, the wearable device and the one or more applications are communicatively coupled through wireless communications, the identification information comprising a corresponding unique number for each communications module of the one or more communications modules, wherein the wearable device stores the identification information. The method includes the one or more applications transmitting data to a communications module of the one or more communications modules, wherein the data comprises a function and a distance value. The method includes the communications module periodically transmitting a unique number, the function and the distance value. The method includes the wearable device detecting a transmission of the communications module, the wearable device using information of the detected transmission to identify the unique number of the communications module, the transmitted function, and the transmitted distance value, and to estimate a distance from the wearable device to the location of the communications module. The method includes the wearable device locating a presence of the unique number in the stored identification information, wherein upon the locating, the wearable device compares the transmitted distance value with the estimated distance and performs the transmitted function when the estimated distance meets at least one criterion with respect to the distance value.
Computer networks suitable for use with the embodiments described herein include local area networks (LAN), wide area networks (WAN), Internet, or other connection services and network variations such as the world wide web, the public internet, a private internet, a private computer network, a public network, a mobile network, a cellular network, a value-added network, and the like. Computing devices coupled or connected to the network may be any microprocessor controlled device that permits access to the network, including terminal devices, such as personal computers, workstations, servers, mini computers, main-frame computers, laptop computers, mobile computers, palm top computers, hand held computers, mobile phones, TV set-top boxes, or combinations thereof. The computer network may include one of more LANs, WANs, Internets, and computers. The computers may serve as servers, clients, or a combination thereof.
The systems and methods of monitoring a subject in a premises can be a component of a single system, multiple systems, and/or geographically separate systems. The systems and methods of monitoring a subject in a premises can also be a subcomponent or subsystem of a single system, multiple systems, and/or geographically separate systems. The components of the systems and methods of monitoring a subject in a premises can be coupled to one or more other components (not shown) of a host system or a system coupled to the host system.
One or more components of the systems and methods of monitoring a subject in a premises and/or a corresponding interface, system or application to which the systems and methods of monitoring a subject in a premises are coupled or connected includes and/or runs under and/or in association with a processing system. The processing system includes any collection of processor-based devices or computing devices operating together, or components of processing systems or devices, as is known in the art. For example, the processing system can include one or more of a portable computer, portable communication device operating in a communication network, and/or a network server. The portable computer can be any of a number and/or combination of devices selected from among personal computers, personal digital assistants, portable computing devices, and portable communication devices, but is not so limited. The processing system can include components within a larger computer system.
The processing system of an embodiment includes at least one processor and at least one memory device or subsystem. The processing system can also include or be coupled to at least one database. The term “processor” as generally used herein refers to any logic processing unit, such as one or more central processing units (CPUs), digital signal processors (DSPs), application-specific integrated circuits (ASIC), etc. The processor and memory can be monolithically integrated onto a single chip, distributed among a number of chips or components, and/or provided by some combination of algorithms. The methods described herein can be implemented in one or more of software algorithm(s), programs, firmware, hardware, components, circuitry, in any combination.
The components of any system that include the systems and methods of monitoring a subject in a premises can be located together or in separate locations. Communication paths couple the components and include any medium for communicating or transferring files among the components. The communication paths include wireless connections, wired connections, and hybrid wireless/wired connections. The communication paths also include couplings or connections to networks including local area networks (LANs), metropolitan area networks (MANs), wide area networks (WANs), proprietary networks, interoffice or backend networks, and the Internet. Furthermore, the communication paths include removable fixed mediums like floppy disks, hard disk drives, and CD-ROM disks, as well as flash RAM, Universal Serial Bus (USB) connections, RS-232 connections, telephone lines, buses, and electronic mail messages.
Aspects of the systems and methods of monitoring a subject in a premises and corresponding systems and methods described herein may be implemented as functionality programmed into any of a variety of circuitry, including programmable logic devices (PLDs), such as field programmable gate arrays (FPGAs), programmable array logic (PAL) devices, electrically programmable logic and memory devices and standard cell-based devices, as well as application specific integrated circuits (ASICs). Some other possibilities for implementing aspects of the systems and methods of monitoring a subject in a premises and corresponding systems and methods include: microcontrollers with memory (such as electronically erasable programmable read only memory (EEPROM)), embedded microprocessors, firmware, software, etc. Furthermore, aspects of the systems and methods of monitoring a subject in a premises and corresponding systems and methods may be embodied in microprocessors having software-based circuit emulation, discrete logic (sequential and combinatorial), custom devices, fuzzy (neural) logic, quantum devices, and hybrids of any of the above device types. Of course the underlying device technologies may be provided in a variety of component types, e.g., metal-oxide semiconductor field-effect transistor (MOSFET) technologies like complementary metal-oxide semiconductor (CMOS), bipolar technologies like emitter-coupled logic (ECL), polymer technologies (e.g., silicon-conjugated polymer and metal-conjugated polymer-metal structures), mixed analog and digital, etc.
It should be noted that any system, method, and/or other components disclosed herein may be described using computer aided design tools and expressed (or represented), as data and/or instructions embodied in various computer-readable media, in terms of their behavioral, register transfer, logic component, transistor, layout geometries, and/or other characteristics. Computer-readable media in which such formatted data and/or instructions may be embodied include, but are not limited to, non-volatile storage media in various forms (e.g., optical, magnetic or semiconductor storage media) and carrier waves that may be used to transfer such formatted data and/or instructions through wireless, optical, or wired signaling media or any combination thereof. Examples of transfers of such formatted data and/or instructions by carrier waves include, but are not limited to, transfers (uploads, downloads, e-mail, etc.) over the Internet and/or other computer networks via one or more data transfer protocols (e.g., HTTP, FTP, SMTP, etc.). When received within a computer system via one or more computer-readable media, such data and/or instruction-based expressions of the above described components may be processed by a processing entity (e.g., one or more processors) within the computer system in conjunction with execution of one or more other computer programs.
Unless the context clearly requires otherwise, throughout the description and the claims, the words “comprise,” “comprising,” and the like are to be construed in an inclusive sense as opposed to an exclusive or exhaustive sense; that is to say, in a sense of “including, but not limited to.” Words using the singular or plural number also include the plural or singular number respectively. Additionally, the words “herein,” “hereunder,” “above,” “below,” and words of similar import, when used in this application, refer to this application as a whole and not to any particular portions of this application. When the word “or” is used in reference to a list of two or more items, that word covers all of the following interpretations of the word: any of the items in the list, all of the items in the list and any combination of the items in the list.
The above description of embodiments of the systems and methods of monitoring a subject in a premises and corresponding systems and methods is not intended to be exhaustive or to limit the systems and methods to the precise forms disclosed. While specific embodiments of, and examples for, the systems and methods of monitoring a subject in a premises and corresponding systems and methods are described herein for illustrative purposes, various equivalent modifications are possible within the scope of the systems and methods, as those skilled in the relevant art will recognize. The teachings of the systems and methods of monitoring a subject in a premises and corresponding systems and methods provided herein can be applied to other systems and methods, not only for the systems and methods described above.
The elements and acts of the various embodiments described above can be combined to provide further embodiments. These and other changes can be made to the systems and methods of monitoring a subject in a premises and corresponding systems and methods in light of the above detailed description.
This application is a continuation in part application of U.S. patent application Ser. No. 14/741,159, filed Jun. 16, 2015.
Number | Date | Country | |
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Parent | 14741159 | Jun 2015 | US |
Child | 14880935 | US |