Patent Application
20220142832
The present disclosure generally relates to wheelchairs and, more specifically, to wheelchair systems that enable autonomously motion control when a companion is moving along side of the wheelchair.
Wheelchairs, such as power wheelchairs, enable those who are unable to walk on their own travel from one place to another. One type of wheelchair is a power wheelchair having one or more motors that allow a user to control the power wheelchair so that it moves under motorized control. Typically, a joystick or other user input device is used by the user to control the motors of the power wheelchair to navigate the environment. Some power wheelchairs have a “follow” feature that use sensors to autonomously control the power wheelchair to follow another person that is either in front of or behind the power wheelchair. However, it is difficult for the user of the power wheelchair and a followed companion to carry on a conversation because the companion has to be either in front of or behind the power wheelchair in the follow mode.
Accordingly, a need exists for alternative power wheelchairs that enable a followed companion that is positioned on a side of the wheelchair.
In one embodiment, a wheelchair system includes a companion and a wheelchair. The wheelchair includes one or more wheels, at least one actuator coupled to the one or more wheels, a processing device, and a processor-readable storage medium in communication with the processing device. The processor-readable storage medium includes one or more programming instructions that, when executed, cause the processing device to generate a companion profile based on a plurality of identifying features of a determined companion, determine a movement of the companion, and actuate the at least one actuator to drive the one or more wheels to follow the movement of the companion. The actuation of the at least one actuator to drive the one or more wheels to follow the movement of the companion is an autonomous control.
In another embodiment, a wheelchair system includes a companion and a wheelchair. The wheelchair includes a frame, one or more wheels coupled to the frame, at least one actuator coupled to the one or more wheels, and a control unit. The control unit controls the wheelchair between a standard mode and a companion control mode such that in the companion control mode, the control unit actuates the at least one actuator to drive the one or more wheels to follow a movement of the companion. The actuation of the at least one actuator to drive the one or more wheels to follow the movement of the companion is an autonomous control.
In yet another embodiment, a method of operating a wheelchair includes receiving, by a control unit, an input from a user, the input corresponding to a request for a companion control mode, determining, by the control unit, a companion, determining, by the control unit, a movement of the companion, and actuating, by the control unit, at least one actuator to drive one or more wheels of the wheelchair to follow the movement of the companion.
These and additional objects and advantages provided by the embodiments described herein will be more fully understood in view of the following detailed description, in conjunction with the drawings.
The embodiments set forth in the drawings are illustrative and exemplary in nature and not intended to limit the subject matter defined by the claims. The following detailed description of the illustrative embodiments can be understood when read in conjunction with the following drawings, where like structure is indicated with like reference numerals and in which:
The systems and methods described herein generally relate to a powered wheelchair configured with a companion follow mode. The companion follow mode permits autonomous motor control to follow a companion traveling along side of the powered wheelchair. As such, the powered wheelchair, in the companion follow mode, autonomous mimics or follows the companions movements along the side of the powered wheelchair. Further, the companion may be identified via a companion profile. The companion profile may include data related to the color of pants of the companion, facial recognition of the companion, and/or a cadence of a walk of the companion. As such, the companion profile establishes who is the proposed companion to follow. Further, any background noise surrounding the companion is eliminated such that the system may only focus on the movements of the determined companion. Additionally, the powered wheelchair includes a plurality of sensors that detect undesirable objects in front of the a powered wheelchair and will automatically exit from the companion follow mode if contact with the undesirable object is inevitable.
Present power wheelchairs do not have a companion follow mode activated to follow a companion along a side of the powered wheelchair, which may make it difficult for a user have a conservation with the companion. As a non-limiting example, the user may wish to engage in a conservation with the companion at the supermarket. Present power wheelchairs would force the companion to walk behind and/or in front of the Present power wheelchair. Others may not establish the companion based on facial recognition, cadence, and/or clothing color and thus mistake another person as the companion.
Embodiments solve this problem by generating a companion profile to establish the determined companion and following the determined companion as the companion moves along side of the powered wheelchair. Thus, the user is able to freely have a conversation with the companion while the powered wheelchair moves autonomously following the movements of the companion.
Various embodiments of power wheelchairs companion follow mode are described in detail herein.
As used herein, the term “communicatively coupled” may mean that coupled components are capable of exchanging data signals with one another such as, for example, electrical signals via conductive medium or a non-conductive medium, though networks such as via Wi-Fi, Bluetooth, and the like, electromagnetic signals via air, optical signals via optical waveguides, and the like.
As used herein, the term “system longitudinal direction” refers to the forward-rearward direction of the system (i.e., in a +/−X direction of the coordinate axes depicted in
Referring initially to
Still referring to
In some embodiments, the seat portion 24 may include one or more handles 30 integrated therein or coupled thereto. The one or more handles 30 may provide an area for a user (e.g., a caregiver) to grip the wheelchair 12. For example, at least one of the one or more handles 30 may be located on a back portion of the seat portion 24 such that a user may grasp the one or more handles 30 when moving behind the wheelchair 12.
The power base portion 20 may include, but is not limited to, one or more wheels 32, an actuator 34, a battery 36, and the control unit 14. The control unit 14 may be an electronic control unit and may generally be a control device that controls the wheelchair 12 and/or one or more components thereof. As such, the control unit 14 may be communicatively coupled to the various components of the wheelchair 12 such that one or more control signals can be transmitted from the control unit 14 to the various components such as the actuator 34, as described in greater detail herein. The actuator 34, which may be configured as one or more motors, is coupled to the wheels 32 to drive movement of the wheels 32. The battery 36 may generally provide electrical power to the various components of the wheelchair 12, such as the actuator 34. Further, in some embodiments, the power base portion 20 may include a position sensor 40, such as a global position system (GPS) device that is configured to transmit the location of the wheelchair 12 and/or receive the position of other objects relative to the wheelchair 12. Other components of the power base portion 20 should generally be understood and are not described in further detail herein.
The one or more wheels 32 may be configured as any type of wheel. As a non-limiting example, the one or more wheels 32 may be omni-directional wheels, which may enable a user to easily move the wheelchair 12 in any direction when it is in the fine manual motion control described below.
The control unit 14 may generally be a standalone control device that contains one or more components for controlling movement of the wheelchair 12. It should be appreciated that while the control unit is shown in
Referring to
In various embodiments, the control unit 14 includes a network interface 66, a processor device 60, a data storage device 70, and a memory component 68. The processor device 60, such as a computer processing unit (CPU), may be the central processing unit of the control unit 14, performing calculations and logic operations to execute a program. The processor device 60, alone or in conjunction with the other components, is an illustrative processing device, computing device, processor, or combination thereof. The processor device 60 may include any processing component configured to receive and execute instructions (such as from the memory component 68). A local interface 64, such as a bus or the like, may interconnect the various components.
It should be understood that the local interface 64 may be formed from any medium that is capable of transmitting a signal such as, for example, conductive wires, conductive traces, optical waveguides, or the like. In some embodiments, the local interface 64 may facilitate the transmission of wireless signals, such as Wi-Fi, Bluetooth, Near Field Communication (NFC) and the like. Moreover, the local interface 64 may be formed from a combination of mediums capable of transmitting signals. In one embodiment, the local interface 64 comprises a combination of conductive traces, conductive wires, connectors, and buses that cooperate to permit the transmission of electrical data signals to components such as processors, memories, sensors, input devices, output devices, and communication devices.
In some embodiments, the memory component 68 may be configured as a volatile and/or a nonvolatile computer-readable medium and, as such, may include random access memory (including SRAM, DRAM, and/or other types of random access memory), read only memory (ROM), flash memory, registers, compact discs (CD), digital versatile discs (DVD), and/or other types of storage components. Further, the memory component 68 may be a non-transitory, processor-readable memory. The memory component 68 may include one or more programming instructions thereon that, when executed by the processor device 60, cause the processor device 60 to complete various processes, such as one or more of the processes described herein with respect to
Referring to
Further, the wheelchair operating logic module 74 may include one or more different pieces of logic, each of which may be embodied as a computer program, firmware, and/or software/hardware, which may be executable by the processor device 60 to cause the wheelchair 12 to move and/or orientate itself with respect to autonomous commands such as when the wheelchair 12 is in the companion control mode. As such, in the companion control mode, the wheelchair may autonomously follow or mimic movements of the companion 13, such that the wheelchair 12 moves without the need or input of the user 16. That is, the actuator 34 may autonomously control movement of the one or more wheels 32 of the wheelchair to drive the wheelchair 12. It should be appreciated that in the companion control mode, the wheelchair operating logic module 74 may predict movements by the companion 13 based on a history or other indicators, such as objects surrounding the wheelchair 12, such that the wheelchair 12 has a slow motion or “less jerky” motion to weaving and sudden turns by the companion. On the other hand, the system may increase speeds in turns and other maneuvers such that the user 16 has a pleasant experience.
A companion logic module 76 may include one or more pieces of logic, each of which may be embodied as a computer program, firmware, and/or software/hardware, which may be executable by the processor device 60 to determine the companion, determine the movements of the companion, and convey those movements to other systems of the wheelchair, such as the wheelchair operating logic module 74. As such, the companion logic module 76 may assist in identifying the companion and assist in directing the wheelchair to mimic or follow the companion movements when the wheelchair is in a companion control mode, as discussed in greater detail herein.
In other embodiments, the companion logic module 76 may include one or more pieces of logic, each of which may be embodied as a computer program, firmware, and/or software/hardware, which may be executable by the processor device 60 to, based on a plurality of user preferences, determine the companion, how long to follow the companion, and the like. For example, the plurality of user preferences may include manually inputting a type of clothing or a color that the companion is wearing, uploading a picture or other facial recognition features, cadence information and the like. In some embodiments, the user preferences may be uploaded via a mobile phone, tablet, other personal electronic device using the internet, Bluetooth®, and the like. In other embodiments, the user preferences may be uploaded directly into the control unit 14 of the wheelchair 12. Any object recognition algorithm may be used to determine whether the object in range of the wheelchair 12 fits the criteria to be the companion 13, and, if so, the system initiates the companion control mode, as discussed in greater detail herein.
A sensor logic module 78 may include one or more pieces of logic, each of which may be embodied as a computer program, firmware, and/or software/hardware, which may be executable by the processor device 60 to receive a process signals and/or data from one or more sensors, such as the sensors illustrated in
An object detection logic 80 may include one or more pieces of logic, each of which may be embodied as a computer program, firmware, and/or software/hardware, which may be executable by the processor device 60 to receive sensor data (e.g., image data from a camera) to detect objects surrounding the wheelchair 12. As described in more detail below, the object detection logic 80 may use sensor data to detect undesirable objects in the path of the wheelchair 12 when the wheelchair is in the companion control mode that may cause an undesirable condition should the wheelchair 12 stay in the companion control mode. As such, the object detection logic 80 may move the wheelchair from the companion control mode to a standard mode, where the user has full control of the wheelchair using, for example, the controller, to enable manual motion control mode.
As used herein, “companion control mode” means that the wheelchair is in an autonomous mode (i.e., moves without the user 16 manually controlling or directing the wheelchair) such that the wheelchair follows or mimics the companion 13. The “standard mode” means that the wheelchair is controlled and operated by the user 16, such as with the controller 28. An “undesirable object” means an object that poses an undesirable result for a user seated in a wheelchair 12. Non-limiting examples of undesirable objects include potholes, a vehicle, a sign, a curb, another person, an animal, and the like.
Referring once again to
The network interface 66 of the control unit 14 may include any wired or wireless networking hardware, such as a modem, LAN port, wireless fidelity (Wi-Fi) card, WiMax card, mobile communications hardware, and/or other hardware for communicating with other networks and/or devices. Therefore, the communication between the control unit 14, the wheelchair 12, and/or other external devices may be provided through the network interface 66.
The data storage device 70, which may generally be a storage medium, may contain one or more data repositories for storing data that is received and/or generated, and may be any physical storage medium, including, but not limited to, a hard disk drive (HDD), memory, removable storage, and/or the like. While the data storage device 70 is depicted as a local device, it should be understood that the data storage device 70 may be a remote storage device, such as, for example, a server computing device or the like. Illustrative data that may be contained within the data storage device 70 is described below with respect to
Referring again to
The surface sensor 38 is operable to produce surface data 88 that is indicative of the type of surface 48 the wheelchair 12 is operating on. Different surfaces have different coefficients of friction with respect to the one or more wheels 32 and thus create different wheel torque on the one or more wheels 32. Non-limiting surface include tile floors, laminate floors, wood floors, decking, concrete surfaces, Earth surfaces, gravel surfaces, and the like. The type of surface may be used to determine how to follow the companion in the companion control mode. As a non-limiting example, the data storage device 70 may store example coefficients of friction for different surface types. The surface sensor 38 may be, for example, an image sensor that creates image data of the surface 48. As a non-limiting example, the surface sensor 38 may be positioned under the seat portion 24 and have a field of view of the surface 48. This image data may be used by control unit 14 to determine the type of surface. Any object recognition algorithm may be used to determine the type of surface.
Some embodiments include a front sensor 37, if provided, may be located at a front of the wheelchair 12 (e.g., on the frame, armrest, and the like, and aimed towards the front) and may produce data indicative of objects in front of the wheelchair 12. In a non-limiting example, the front sensor 37 is an image sensor that produces image data that can be processed using an object detection algorithm to detect objects, such as undesirable objects that lead to an undesirable condition, as described in more detail below with respect to the flowchart 400 of
The rear sensor 42, if provided, may be located at a rear of the wheelchair 12 (e.g., on the seatback) and may produce data indicative of objects behind the wheelchair 12. In a non-limiting example, the rear sensor 42 is an image sensor that produces image data that can be processed using an object detection algorithm to detect objects, such as undesirable objects that lead to an undesirable condition, as described in more detail below with respect to the flowchart 400 of
The wheelchair may also include a position sensor 40, which may be configured as a GPS sensor, for example, The position sensor 40 provides data regarding the location of the wheelchair 12 in the environment. The position of the wheelchair 12 may be useful in determining objects surrounding the wheelchair 12. The position sensor 40 may also include other sensors, such as a wireless Bluetooth® sensor operable to communicate with wireless Bluetooth® beacons to triangulate the position of the wheelchair 12, and determine the location of the wheelchair 12 with respect to objects.
Still referring to
The image capturing device 43 may include or may be coupled to a lens (not shown). The lens is not limited by this disclosure and may generally be any optical component that is configured to focus the light entering the image capturing device 43 such that an image can be properly obtained. In some embodiments, the lens may be a fixed lens that is not adjustable. In other embodiments, the lens may be adjustable, either manually or automatically by the processor device 60, to zoom in on an object (i.e., the companion 13), zoom out on an object (i.e., the companion 13), and/or adjust the focus of the light entering the image capturing device 43.
It should be appreciated that either side or both sides of the wheelchair 12 may equipped with the image capturing device 43. Further, in some embodiments, either side or both sides of the wheelchair 12 may equipped with a plurality of other sensors, such as sensor that determines a depth of an object, such as the companion 13 from a fixed position, such as a distance from one or more wheels 32 or frame 22 of the wheelchair 12. Other sensors may be proximately sensors, pressure sensors such as whiskers, toggle switches and the like.
Referring now to
Companion data 82 may be data determined from the image capturing device 43, input user preferences, and the like. The companion data 82 may include generated profile data about the companion such as a type or recognized color of clothing, facial recognition or facial expressions, cadence of a walk and/or a talk of the companion 13, and the like. Historical companion data 82 may be stored in the data storage device, which may be used by the control unit 14 to learn specific profile characteristics on the companion 13 for future determination, for example.
The rear sensor data 84 produced by the rear sensor 42, if provided, may also be stored in the data storage device 70. As stated above and described in more detail below, the rear sensor data 84 may be used to detect undesirable objects and/or conditions, and remove the wheelchair 12 from the companion control mode such that the wheelchair 12 is operated in a standard mode.
The front sensor data 86 produced by the front sensor 37, if provided, may also be stored in the data storage device 70. As stated above and described in more detail below, the front sensor data 86 may be used to detect undesirable objects and/or conditions, and remove the wheelchair 12 from the companion control mode such that the wheelchair 12 is operated in a standard mode.
Image data 92 produced by the image capturing device 43, if provided, may also be stored in the data storage device 70. As stated above and described in more detail below, the image data 92 may include a plurality of images of the companion 13 during the companion control mode, that the processor device 60 uses to determine movement of the companion 13 and directs the actuator 34 of the wheelchair 12 to mimic the movement.
Other data in the form of position data 90 produced by the position sensor 40 and surface data 88 (e.g., image data of the surface) produced by the surface sensor 38, if such sensors are provided. Such data may be used to determine and follow the companion 13 in the companion control mode and/or exiting the companion control mode when an undesirable object is in the path of movement of the wheelchair 12, as described in more detail below with respect to
Referring now to
In some embodiments, the wheelchair 12 may automatically enter and exit the companion control mode without a user input. In such embodiments, user preferences may command the companion control mode to initiate using the companion data 82 and the image data 92 produced by the image capturing device 43 and, once detected and the user has stopped motorized movement of the wheelchair 12, the companion control mode is enabled. For example, any object recognition algorithm may be used to detect and classify individuals once they are identified as companions and may recognize these companion again. For example, users may converse with certain individuals, or companions, around the same time every day and the system may recognize that companion, based on clothing, facial recognition, cadence, and the like. In some embodiments, the position sensor 40 is used in lieu of, or in addition to, the image capturing device 43 to detect when the companion has approached the user.
Once the user input is received, the image capturing device 43 is initiated, at block 410. It should be appreciated that in embodiments, without the image capturing device 43, a plurality of sensors is activated (i.e., proximately sensors, depth sensors and the like). Further, in embodiments, when the image capturing device 43 is initiated, the plurality of other sensors is activated (i.e., proximately sensors, depth sensors and the like). At block 415, the system 10 determines the companion and the system may request confirmation of the companion by showing data to the user 16 to confirm, at block 420. The data may be shown to the user via a mobile phone, tablet, or a user interface of the wheelchair 12.
At block 425, the system 10 generates a companion profile that includes specific data and characteristics about the companion 13, such as the type and/or color of clothing, facial recognition, and cadence of the companion. The cadence may be either a walking cadence and/or talking cadence that the system 10 is able to recognize using a plurality of algorithms to establish a particular profile for every companion 13. Once the companion profile is generated, the system 10 initiates the continuous image capturing mode, at block 430, and initiates the plurality of sensors (e.g., the surface sensor 38, the front sensor 37, the rear sensor 42, and the position sensor 40), at block 435. The system determines whether the companion 13 has moved, at block 440. If the companion has not moved, then the system 10 waits and loops between the continuous image capturing mode, at block 430, and initiating the plurality of sensors (e.g., the surface sensor 38, the front sensor 37, the rear sensor 42, and the position sensor 40), at block 435, until the companion is determined to move, at block 440. Once it is determined that the companion has moved, at block 440, the system 10 determines the movement of the companion, at block 445.
In the example of
Once the movement of the companion is detected, the system determines whether there is an undesirable object or condition in the path of movement, at block 450. If there is not an undesirable object within the path of movement, the systems controls the wheelchair 12 to mimic the movement of the companion 13, at block 455. On the other hand, if there is an undesirable object or condition determined in the path of the wheelchair 12, the system 10 terminates the companion control mode, at block 460, placing the wheelchair 12 into standard mode where the user 16 controls any movement. That is, the system 10 may inhibit the autonomous control of the actuator 34 to prohibit the autonomously driving the one or more wheels 32 of the wheelchair 12 to follow the movements of the companion 13 by the actuator 34. For example, one or more sensors may be used to detect an undesirable object or an undesirable condition. Non-limiting examples of the sensors used to detect the undesirable object or undesirable condition include the rear sensor 42, the front sensor 37, the surface sensor 38, and the image sensor 43 shown in
Referring now to
Once the user input is received, the image capturing device 43 is initiated, at block 410. It should be appreciated that in embodiments, without the image capturing device 43, a plurality of sensors is activated (i.e., proximately sensors, depth sensors and the like). Further, in embodiments, when the image capturing device 43 is initiated, the plurality of other sensors is activated (i.e., proximately sensors, depth sensors and the like). At block 505, the system 10 filters the captured images to eliminate or filter background noise. It should be appreciated that the system 10 filters the background noise to hone in or key onto the companion 13 within an image. With the background noise filtered, the companion is determined from the image data at block 510, and identifying features of the companion 13 is captured and saved at block 515. It should be appreciated that this data may be stored as companion data 82 and/or image data 92. For example, specific identifying features of the companion 13 that may be captured and saved to ensure that the system 10 follows the proper companion 13 is the color of clothes of the companion, at block 520, facial features of the companion 13, at block 525, and cadence of the companion 13, at block 530.
Once the color of clothes of the companion is captured, at block 520, facial features of the companion 13 is captured, at block 525, and cadence of the companion 13 is captured, at block 530, the system 10 stores the identifying features of the companion 13, such as companion data 82 and/or image data 92, at block 535. At block 425, the system 10 generates a companion profile that includes specific data and characteristics about the companion 13, such as the type and/or color of clothing, facial recognition, and cadence of the companion.
It should now be understood that the systems and methods described herein provide a wheelchair capable of entering a companion control mode such that a user of a wheelchair may be able to have a conservation with a companion moving along side of the wheelchair and the wheelchair follows or mimics the movements of the companion in an autonomous control without the need for the user to control the wheelchair. Embodiments further determine when an undesirable object or condition is present to inhibit the autonomous control of the wheelchair.
While particular embodiments have been illustrated and described herein, it should be understood that various other changes and modifications may be made without departing from the spirit and scope of the claimed subject matter. Moreover, although various aspects of the claimed subject matter have been described herein, such aspects need not be utilized in combination. It is therefore intended that the appended claims cover all such changes and modifications that are within the scope of the claimed subject matter.
