Wearable activity recognition for automatic microblog updates

Author

Tian, Hao ; Lei, Pang ; Xingjuan, Li ; Shusong, Xing

Author_Institution

Sch. of Software, Nankai Univ., Tianjin, China

fYear

2009

fDate

14-17 July 2009

Firstpage

1720

Lastpage

1723

Abstract

Activity recognition system based on MEMS sensors and wearable computer can produce updates on microblog automatically and frequently. Miniature sensors like the accelerometers made with MEMS technologies can measure body movements continuously while GPS constrains activity recognition within a small set of possible activities. Context information about a person´s activities is made into short text messages shared among group members in order to keep social networking. The work for identifying daily activities from inertial sensor data with hidden Markov models (HMMs) is described.

Keywords

hidden Markov models; micromechanical devices; social networking (online); wearable computers; MEMS sensors; accelerometers; automatic microblog updates; context information; hidden Markov models; social networking; wearable activity recognition; wearable computer; Accelerometers; Global Positioning System; Hidden Markov models; Micromechanical devices; Motion measurement; Sensor phenomena and characterization; Sensor systems; Social network services; Wearable computers; Wearable sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Intelligent Mechatronics, 2009. AIM 2009. IEEE/ASME International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-2852-6

Type

conf

DOI

10.1109/AIM.2009.5229803

Filename

5229803