摘要
The ubiquity of smartphones together with their ever-growing computing,networking,and sensing powers have been changing the landscape of people＇s daily life.Among others,activity recoginition,which takes the raw sensor reading as inputs and predicts a user＇s motion activity,has become an active research area in recent years.It is the core building block in many high-impact applications,ranging from health and fitness monitoring,personal biometric signature,urban computing,assistive technology,and elder-care,to indoor localization and navigation,etc.This paper presents a comprehensive survey of the recent advances in activity recognition with smartphones＇ sensors.We start with the basic concepts such as sensors,activity types,etc.We review the core data mining techniques behind the main stream activity recognition algorithms,analyze their major challenges,and introduce a variety of real applications enabled by activity recognition.
The ubiquity of smartphones together with their ever-growing computing,networking,and sensing powers have been changing the landscape of people＇s daily life.Among others,activity recoginition,which takes the raw sensor reading as inputs and predicts a user＇s motion activity,has become an active research area in recent years.It is the core building block in many high-impact applications,ranging from health and fitness monitoring,personal biometric signature,urban computing,assistive technology,and elder-care,to indoor localization and navigation,etc.This paper presents a comprehensive survey of the recent advances in activity recognition with smartphones＇ sensors.We start with the basic concepts such as sensors,activity types,etc.We review the core data mining techniques behind the main stream activity recognition algorithms,analyze their major challenges,and introduce a variety of real applications enabled by activity recognition.
基金
supported by the National Science Foundation (Nos. IIS1017415 and CNS0904901)
sponsored by the Army Research Laboratory
accomplished under Cooperative Agreement Number W911NF-09-2-0053
provided by Defense Advanced Research Projects Agency (DARPA) under Contract Number W911NF11-C-0200 and W911NF-12-C-0028
