Title :
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
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;
Conference_Titel :
Advanced Intelligent Mechatronics, 2009. AIM 2009. IEEE/ASME International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2852-6
DOI :
10.1109/AIM.2009.5229803
