Title :
Elderly personal intention recognition by activity and context recognition in smart home
Author :
Yujia Ge ; Bin Xu
Author_Institution :
Coll. of Comput. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou, China
Abstract :
This paper presents a theoretically sound solution for intention recognition in smart home environment. The proposed solution for elderly intention recognition is based on activity recognition and context recognition. Accelerator-based activity classification and RSSI based location estimation technique have been suggested. The recognized situation sequence is then matched with most possible intentions modeled in Markov chains. Our preliminary experiment suggests this algorithm is viable.
Keywords :
Markov processes; home computing; pattern recognition; signal classification; Markov chains; RSSI based location estimation technique; accelerator-based activity classification; activity recognition; context recognition; elderly personal intention recognition; received signal strength indicator; situation sequence; smart home environment; Acceleration; Computers; Context; Data models; Legged locomotion; Support vector machines; Tin; accelerometer; elderly; intention recognition; smart home;
Conference_Titel :
Computer Science & Education (ICCSE), 2014 9th International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4799-2949-8
DOI :
10.1109/ICCSE.2014.6926483
