Range-based algorithm for posture classification and fall-down detection in smart homecare system

• Published in: The 1st IEEE Global Conference on Consumer Electronics 2012 pp. 243 - 247
• Main Authors: Wongpatikaseree, K., Lim, A. O., Yasuo Tan, Kanai, H.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-10-2012
• Subjects: Accuracy; Algorithm design and analysis; Classification algorithms; fall-down detection; Human posture classification; Humans; Medical services; Monitoring; range-based algorithm; Sensors; smart homecare system
• ISBN: 1467315001; 9781467315005
• ISSN: 2378-8143; 2693-0854
• DOI: 10.1109/GCCE.2012.6379591

Human posture classification is one of the most challenging issues in smart homecare system. To achieve high classification accuracy, we propose a new algorithm, called range-based algorithm. In this paper, a range means the distance between body parts. The ranges between body parts are investigated to classify the human posture and to detect a possible fall-down accident. Furthermore, we also proposed an adaptive posture window scheme to recognize the human posture in real-time even though human change the posture in different speed. The results reveal that our proposed can classify the human posture and detect fall-down with high accuracy and reliability.