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

fYear

2014

fDate

22-24 Aug. 2014

Firstpage

347

Lastpage

350

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education (ICCSE), 2014 9th International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

978-1-4799-2949-8

Type

conf

DOI

10.1109/ICCSE.2014.6926483

Filename

6926483