TY - CHAP
T1 - Activity and anomaly detection in smart home
T2 - a survey
AU - Bakar, U. A. B. U. A.
AU - Ghayvat, Hemant
AU - Hasanm, S. F.
AU - Mukhopadhyay, S. C.
PY - 2016
Y1 - 2016
N2 - Activity recognition is a popular research area with a number of applications, particularly in the smart home environment. The unique features of smart home sensors have challenged traditional data analysis methods. However, the recognition of anomalous activities is still immature in the smart home when compared with other domains such as computer security, manufacturing defect detection, medical image processing, etc. This chapter reviews smart home’s dense sensing approaches, an extensive review from sensors, data, analysis, algorithms, prompting reminder system, to the recent development of anomaly activity detection.
AB - Activity recognition is a popular research area with a number of applications, particularly in the smart home environment. The unique features of smart home sensors have challenged traditional data analysis methods. However, the recognition of anomalous activities is still immature in the smart home when compared with other domains such as computer security, manufacturing defect detection, medical image processing, etc. This chapter reviews smart home’s dense sensing approaches, an extensive review from sensors, data, analysis, algorithms, prompting reminder system, to the recent development of anomaly activity detection.
UR - http://www.scopus.com/inward/record.url?scp=84978740807&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-21671-3_9
DO - 10.1007/978-3-319-21671-3_9
M3 - Chapter
AN - SCOPUS:84978740807
SN - 9783319216706
VL - 16
T3 - Smart Sensors, Measurement and Instrumentation
SP - 191
EP - 220
BT - Smart Sensors, Measurement and Instrumentation
A2 - Mukhopadhyay, Subhas Chandra
PB - Springer, Springer Nature
CY - Switzerland
ER -