TY - JOUR
T1 - Activity recognition with evolving data streams
T2 - A review
AU - Abdallah, Zahraa S.
AU - Gaber, Mohamed Medhat
AU - Srinivasan, Bala
AU - Krishnaswamy, Shonali
PY - 2018/7
Y1 - 2018/7
N2 - Activity recognition aims to provide accurate and opportune information on people's activities by leveraging sensory data available in today's sensory rich environments. Nowadays, activity recognition has become an emerging field in the areas of pervasive and ubiquitous computing. A typical activity recognition technique processes data streams that evolve from sensing platforms such as mobile sensors, on body sensors, and/or ambient sensors. This article surveys the two overlapped areas of research of activity recognition and data stream mining. The perspective of this article is to review the adaptation capabilities of activity recognition techniques in streaming environment. Categories of techniques are identified based on different features in both data streams and activity recognition. The pros and cons of the algorithms in each category are analysed, and the possible directions of future research are indicated.
AB - Activity recognition aims to provide accurate and opportune information on people's activities by leveraging sensory data available in today's sensory rich environments. Nowadays, activity recognition has become an emerging field in the areas of pervasive and ubiquitous computing. A typical activity recognition technique processes data streams that evolve from sensing platforms such as mobile sensors, on body sensors, and/or ambient sensors. This article surveys the two overlapped areas of research of activity recognition and data stream mining. The perspective of this article is to review the adaptation capabilities of activity recognition techniques in streaming environment. Categories of techniques are identified based on different features in both data streams and activity recognition. The pros and cons of the algorithms in each category are analysed, and the possible directions of future research are indicated.
KW - Activity recognition
KW - Adaptive learning
KW - Stream mining
KW - Transfer learning
UR - http://www.scopus.com/inward/record.url?scp=85053231898&partnerID=8YFLogxK
U2 - 10.1145/3158645
DO - 10.1145/3158645
M3 - Review article (Academic Journal)
AN - SCOPUS:85053231898
SN - 0360-0300
VL - 51
JO - ACM Computing Surveys
JF - ACM Computing Surveys
IS - 4
M1 - 3158645
ER -