Automatic assessment of affective episodes for daily activities analysis

Yu Hsien Chiu, Kun Yi Huang, Hsiu E. Chiu, Wei Hao Chen

研究成果: Conference contribution

摘要

Monitoring health conditions and events of grandparent-headed family is important to increase their quality of life and reduce care burdens. Affective episodes are significant indexes in monitoring behavior changes. In this paper, we propose an information retrieval approach to extract affect words from speech and written text to provide quantitative evidence of physical functions and social interactivity for living support and the health related quality of life assessment. Hidden Markov model with a developed behavior grammar network was adopted to transcribe speech. Combined with written texts, an adjusted term-frequency and a sliding window method were performed to extract and quantify affect words. A quantitative index scored by trigger pair approach was applied to assess affective episodes with time and place. Experimental results and case study revealed that the proposed approach shows encouraging potential in monitoring daily activity and family dialog. Its extension may provide an alternative way to obtain implicit information of emotional expression between a family.

原文English
主出版物標題2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9786163618238
DOIs
出版狀態Published - 2014 二月 12
事件2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, Thailand
持續時間: 2014 十二月 92014 十二月 12

出版系列

名字2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014

Other

Other2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
國家/地區Thailand
城市Chiang Mai
期間14-12-0914-12-12

All Science Journal Classification (ASJC) codes

  • 訊號處理
  • 資訊系統

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