Abstract
Conventional wearable sensors are mainly used to detect the physiological and activity information of individuals who wear them, but fail to perceive the information of the surrounding environment. This paper presents a wearable thermal sensing system to detect and perceive the information of surrounding human subjects. The proposed system is developed based on a pyroelectric infrared sensor. Such a sensor system aims to provide surrounding information to blind people and people with weak visual capability to help them adapt to the environment and avoid collision. In order to achieve this goal, a low-cost, low-data-throughput binary sampling and analyzing scheme is proposed. We also developed a conditioning sensing circuit with a low-noise signal amplifier and programmable system on chip (PSoC) to adjust the amplification gain. Three statistical features in information space are extracted to recognize static humans and human scenarios in indoor environments. The results demonstrate that the proposed wearable thermal sensing system and binary statistical analysis method are efficient in static human detection and human scenario perception.
Highlights
Human scenario recognition has been highly investigated due to its applications in security, surveillance, health-care, smart house, energy efficient control, etc
In our previous work [11], we presented a distributed pyroelectric infrared (PIR) sensor network for moving human subject detection and human scenario recognition
In the applications of human tracking, human gait identification, and human scenario recognition, they all require mobile targets, since PIR sensors are only able to detect the movement of thermal radiations
Summary
Human scenario recognition has been highly investigated due to its applications in security, surveillance, health-care, smart house, energy efficient control, etc. Wireless sensors-based human scenario recognition systems have become more popular due to their low computational complexity and robustness to various environmental conditions. In the applications of human tracking, human gait identification, and human scenario recognition, they all require mobile targets, since PIR sensors are only able to detect the movement of thermal radiations. This mode of PIR sensor is not appropriate to recognize scenarios containing static humans. To generate relative movement to be able to detect static targets This wearable PIR sensing system has the following advantages:. It is highly useful to blind people and disabled people with visual problems for the perception of surrounding human scenarios
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