DocumentCode :
1728490
Title :
Visual based dining activities detection in ambient assisted living
Author :
Yoong Choon Chang ; Sheikh, Ahsan Raza ; Jia Luen Chua ; Jie Sheng Tham
fYear :
2015
Firstpage :
494
Lastpage :
495
Abstract :
This paper summarizes some of the recent research work in visual based ambient assisted living carried out in Centre for Digital Home, Multimedia University. In particular, this paper will focus on detecting dining activities at home with the use of the conventional RGB camera and Microsoft Kinect. According to the best of our understanding, little work has been reported in the literature on identifying dining activities at home using surveillance camera and Microsoft Kinect.
Keywords :
assisted living; biomechanics; image sensors; video surveillance; Microsoft Kinect; ambient assisted living; conventional RGB camera; surveillance camera; visual based dining activities detection; Conferences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
Conference_Location :
Taipei
Type :
conf
DOI :
10.1109/ICCE-TW.2015.7217017
Filename :
7217017
Link To Document :
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