TY - GEN
T1 - Alarm notification of body sensors utilising activity recognition and smart device application
AU - Kang, James Jin
AU - Luan, Tom H.
AU - Larkin, Henry
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/11/28
Y1 - 2016/11/28
N2 - Smart device and body sensors have become innovative and converged with health informatics. To reduce the battery power consumption and bandwidth usage in wireless body area networks, it is proposed to infer sensed data in sensor nodes, which can raise an alarm when the user is in an urgent situation by analysing the sensed data against the user's activity status utilising accelerometer sensors. However when the activity changes frequently, there may be an increase in false alarms which increases sensing and transferring of data resulting in higher resource consumption. To reduce and mitigate the problem, we propose to verify the alarm using a smart device or smartwatch application so that a user can respond to whether the alarm is true or false, and thus provide feedback to the system to improve activity recognition. This paper presents a user-feedback system for use in activity recognition to mitigate and improve possible false alarm situations, which will consequently result in helping sensors to reduce the frequency of transactions and transmissions in wireless body area networks.
AB - Smart device and body sensors have become innovative and converged with health informatics. To reduce the battery power consumption and bandwidth usage in wireless body area networks, it is proposed to infer sensed data in sensor nodes, which can raise an alarm when the user is in an urgent situation by analysing the sensed data against the user's activity status utilising accelerometer sensors. However when the activity changes frequently, there may be an increase in false alarms which increases sensing and transferring of data resulting in higher resource consumption. To reduce and mitigate the problem, we propose to verify the alarm using a smart device or smartwatch application so that a user can respond to whether the alarm is true or false, and thus provide feedback to the system to improve activity recognition. This paper presents a user-feedback system for use in activity recognition to mitigate and improve possible false alarm situations, which will consequently result in helping sensors to reduce the frequency of transactions and transmissions in wireless body area networks.
KW - Activity recognition
KW - Body sensors
KW - MHealth
KW - Personal sensor device
KW - Smart device app
KW - Wireless body area network
UR - https://www.scopus.com/pages/publications/85015023950
U2 - 10.1145/3007120.3007153
DO - 10.1145/3007120.3007153
M3 - 会议稿件
AN - SCOPUS:85015023950
T3 - ACM International Conference Proceeding Series
SP - 105
EP - 109
BT - 14th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2016 - Proceedings
A2 - Abdulrazak, Bessam
A2 - Steinbauer, Matthias
A2 - Khalil, Ismail
A2 - Pardede, Eric
A2 - Anderst-Kotsis, Gabriele
PB - Association for Computing Machinery
T2 - 14th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2016
Y2 - 28 November 2016 through 30 November 2016
ER -