DocumentCode
2299393
Title
Human Activity Recognizer for Mobile Devices with Multiple Sensors
Author
Cho, Kenta ; Iketani, Naoki ; Setoguchi, Hisao ; Hattori, Masanori
Author_Institution
Toshiba Corp., Kawasaki, Japan
fYear
2009
fDate
7-9 July 2009
Firstpage
114
Lastpage
119
Abstract
This paper presents a novel human activity recognizer used to estimate a user´s activities with sensors on a widespread consumer mobile device. Our recognizer can estimate a user´s means of migration by using a combination of an acceleration sensor and a GPS. We evaluate the accuracy rate of the estimation with cellular phones carried freely and the result is 90.6 percent even in the case of intermittent working mode for lower power consumption.
Keywords
cellular radio; mobile computing; sensors; GPS; acceleration sensor; cellular phones; human activity recognizer; mobile devices; multiple sensors; Acceleration; Cellular phones; Character recognition; Energy consumption; Global Positioning System; Humans; Magnetic sensors; Mobile computing; Sensor phenomena and characterization; Temperature sensors; acceleration sensor; cellular phone; context-aware;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous, Autonomic and Trusted Computing, 2009. UIC-ATC '09. Symposia and Workshops on
Conference_Location
Brisbane, QLD
Print_ISBN
978-1-4244-4902-6
Electronic_ISBN
978-0-7695-3737-5
Type
conf
DOI
10.1109/UIC-ATC.2009.51
Filename
5319255
Link To Document