文献类型：期刊文献

英文题名：Feature extraction for mental fatigue and relaxation states based on systematic evaluation considering individual difference

作者：Chen, Lanlan[1,2]; Sugi, Takenao[2]; Shirakawa, Shuichiro[3]; Zou, Junzhong[1]; Nakamura, Masatoshi[2]

机构：[1] Department of Automation, East China University of Science and Technology, Shanghai 200237, China; [2] Department of Advanced Systems Control Engineering, Saga University, Saga 840-8502, Japan; [3] National Center of Neurology and Psychiatry, Tokyo, Japan

年份：2009

卷号：129

期号：2

起止页码：302

外文期刊名：IEEJ Transactions on Electronics, Information and Systems

收录：EI(收录号：20095312589832)

语种：英文

外文关键词：Extraction

摘要：Feature extraction for mental fatigue and relaxation states is helpful to understand the mechanisms of mental fatigue and search effective relaxation technique in sustained work environments. Experiment data of human states are often affected by external and internal factors, which increase the difficulties to extract common features. The aim of this study is to explore appropriate methods to eliminate individual difference and enhance common features. Mental fatigue and relaxation experiments are executed on 12 subjects. An integrated and evaluation system is proposed, which consists of subjective evaluation (visual analogue scale), calculation performance and neurophysiological signals especially EEG signals. With consideration of individual difference, the common features of multi-estimators testify the effectiveness of relaxation in sustained mental work. Relaxation technique can be practically applied to prevent accumulation of mental fatigue and keep mental health. The proposed feature extraction methods are widely applicable to obtain common features and release the restriction for subjection selection and experiment design. ? 2009 The Institute of Electrical Engineers of Japan.