1. Technical Field
Embodiments of the present disclosure relate to locating technologies, and particularly, to a locating system and a locating method using pressure sensors.
2. Description of Related Art
Image analysis technologies are widely used in different situations. For example, in a particular region (e.g., a building or an indoor environment), a camera is installed to capture environment images and the captured images are analyzed to determine whether there are people in particular regions within the area of the captured images For example, the images may be analyzed to determine whether an object include features of hands, feet, and head. However, in some situations such as when there is a fire, the image analysis method may not work because of smoke, which means that if people are/were in the fire region they may not be rescued in time. Therefore, there is room for improvement in the art.
The disclosure, including the accompanying drawings, is illustrated by way of example and not by way of limitation. It should be noted that references to “an” or “one” embodiment in this disclosure are not necessarily to the same embodiment, and such references mean “at least one”.
The sensing unit 110 includes a plurality of pressure sensors, such as a first pressure sensor 111, a second pressure sensor 112, a third pressure sensor 113, a fourth pressure sensor 114, . . . , and an Nth pressure sensor 11n. The plurality of pressure sensors are respectively located at different locations under a floor of a room (e.g., an indoor environment or a building), to sense pressure on the different locations of the floor from different objects.
In the embodiment, each of the plurality of pressure sensors has a sensor identification (ID) stored in the data storage unit 130. The storage unit 130 further stores a location of each pressure sensor to correspond to the sensor ID of each pressure sensor. In addition, the storage unit 130 stores templates of a plurality of footstep profile features of different people. The plurality of templates of footstep profile features can be pre-gathered by analyzing electrical signals generated by a pressure sensor when each person walks on the pressure sensor. For example, when a person walks on the pressure sensor, the pressure sensor may generate an electrical signal. Then, a wave form of the electrical signal is generated. Any combination of features of the wave form can be the footstep profile feature template of the person. For example, the features of the wave form can include a pattern, a length, peaks and valleys of the wave form. In addition, the templates stored in the storage unit 130 can be updated according to requirements, for example, when some people got fat.
When a pressure sensor senses pressure, the pressure sensor generates an electrical signal and sends the electrical signal and the sensor ID of the pressure sensor to the analysis unit 150. The analysis unit 150 first determines where the user is located in the room according to the sensor ID sent from the pressure sensor. Then, the analysis unit 150 extracts a footstep profile feature of the user according to a waveform of the electrical signal, and determines an identity of the user by comparing the extracted footstep profile feature with the templates of the plurality of footstep profile features of the different people stored in the storage unit 130.
When two or more pressure sensors sense pressure at different times, the analysis unit 150 records time information when the electrical signal is sent from each of the two or more sensors and then determines a walking path and a walking direction of the user in the room according to the recorded time information and the location of each of the two or more sensors.
In step S11, When a pressure sensor senses a pressure, an electrical signal is generated and sent to the analysis unit 150.
In step S12, the analysis unit 150 extracts a footstep profile feature according to a waveform of the electrical signal, and determines an identity of the user by comparing the extracted footstep profile feature with the templates of the plurality of footstep profile features of the different people stored in the storage unit 130.
In step S13, the analysis unit 150 receives the sensor ID sent from the pressure sensor.
In step S14, the analysis unit 150 determines where the user is located in the room according to the location stored in the storage unit 130 corresponding to the sensor ID sent from the pressure sensor.
As described above, the LOCATING SYSTEM 10 can easily find a location of the user in an area using a plurality of pressure sensors.
Although certain embodiments of the present disclosure have been specifically described, the present disclosure is not to be construed as being limited thereto. Various changes or modifications may be made to the present disclosure without departing from the scope and spirit of the present disclosure.
Number | Date | Country | Kind |
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102110841 | Mar 2013 | TW | national |