TY - GEN
T1 - Human Motion Detection based on Low Resolution Infrared Array Sensor
AU - Tateno, Shigeyuki
AU - Meng, Fanxing
AU - Qian, Renzhong
AU - Li, Tong
N1 - Publisher Copyright:
© 2020 The Society of Instrument and Control Engineers - SICE.
PY - 2020/9/23
Y1 - 2020/9/23
N2 - With the aggravating trend of aging of population, the population aged over 60 years of age is growing faster than any other age groups. Under these circumstances, the number of elderly people living alone is increasing. Therefore, there is increasing expectation for elderly monitoring services which can detect their general activities or emergency situations such as having a fall. Keeping the daily fundamental activities of the elderly is also important to prevent future accidents. In this paper, from the perspective of general versatility and privacy, an activity recognition method using a low-resolution infrared array sensor is proposed. The system can overcome the limitation of exist methods such as an invasion of privacy and have a wider application. A long short-term memory classifier is applied to this system in order to improve the accuracy. Experiments show that the system successfully achieves the aim of higher-precision human motion detection.
AB - With the aggravating trend of aging of population, the population aged over 60 years of age is growing faster than any other age groups. Under these circumstances, the number of elderly people living alone is increasing. Therefore, there is increasing expectation for elderly monitoring services which can detect their general activities or emergency situations such as having a fall. Keeping the daily fundamental activities of the elderly is also important to prevent future accidents. In this paper, from the perspective of general versatility and privacy, an activity recognition method using a low-resolution infrared array sensor is proposed. The system can overcome the limitation of exist methods such as an invasion of privacy and have a wider application. A long short-term memory classifier is applied to this system in order to improve the accuracy. Experiments show that the system successfully achieves the aim of higher-precision human motion detection.
KW - human motion detection
KW - infrared array sensor
KW - long short-term memory
UR - http://www.scopus.com/inward/record.url?scp=85096360985&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:85096360985
T3 - 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020
SP - 1016
EP - 1021
BT - 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020
Y2 - 23 September 2020 through 26 September 2020
ER -