TY - GEN
T1 - Estimation of basic activities of daily living using ZigBee 3D accelerometer sensor network
AU - Shimokawara, Eri
AU - Kaneko, Tetsuya
AU - Yamaguchi, Toru
AU - Mizukawa, Makoto
AU - Matsuhira, Nobuto
PY - 2013/10/17
Y1 - 2013/10/17
N2 - Recently, how to support and care elderly people is serious problem. Modern approach is trying to support to keep health (body and mental) seniors living alone, but it is hard to keep a health by oneself. Our aim is monitoring a user's life for providing suitable services to keep his/her health. To providing suitable service, life log is very useful information. However, traditional monitoring system is only focusing elementary motion, walking, sleeping, and so on. We deal with recognizing advanced motions by using transportation data from an area to other areas in a house. These advanced motion logs support not only elderly but also care stuff or family who plans supports. In daily life, our motion is very variety. Therefore we focused on Basic Activities of Daily Living (ADL) which categories normally doing in daily life such as feeding, bathing, homemaking, and so on. In this research, we pick up 11 motion from ADL for recognition.
AB - Recently, how to support and care elderly people is serious problem. Modern approach is trying to support to keep health (body and mental) seniors living alone, but it is hard to keep a health by oneself. Our aim is monitoring a user's life for providing suitable services to keep his/her health. To providing suitable service, life log is very useful information. However, traditional monitoring system is only focusing elementary motion, walking, sleeping, and so on. We deal with recognizing advanced motions by using transportation data from an area to other areas in a house. These advanced motion logs support not only elderly but also care stuff or family who plans supports. In daily life, our motion is very variety. Therefore we focused on Basic Activities of Daily Living (ADL) which categories normally doing in daily life such as feeding, bathing, homemaking, and so on. In this research, we pick up 11 motion from ADL for recognition.
KW - 3D accelerometer sensor
KW - Motion recognition
KW - ZigBee network
UR - http://www.scopus.com/inward/record.url?scp=84885416995&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84885416995&partnerID=8YFLogxK
U2 - 10.1109/ICBAKE.2013.36
DO - 10.1109/ICBAKE.2013.36
M3 - Conference contribution
AN - SCOPUS:84885416995
SN - 9780769550190
T3 - Proceedings - 2013 International Conference on Biometrics and Kansei Engineering, ICBAKE 2013
SP - 251
EP - 256
BT - Proceedings - 2013 International Conference on Biometrics and Kansei Engineering, ICBAKE 2013
T2 - 2013 International Conference on Biometrics and Kansei Engineering, ICBAKE 2013
Y2 - 5 July 2013 through 7 July 2013
ER -