筑波大学計算科学研究センター 平成24年度 年次報告書

1 平成23年度 重点施策・改善目標　……　22 平成24年度 実施報告　……　53 各研究部門の報告　……　11Ⅰ.素粒子物理研究部門　……　11Ⅱ.宇宙・原子核物理研究部門　……　40 Ⅱ-1.宇宙分野　……　40 Ⅱ-2.原子核分野　……　65Ⅲ.量子物性研究部門　……　88Ⅳ.生命科学研究部門　……　115 Ⅳ-1.生命機能情報分野　……　115 Ⅳ-2.分子進化分野　……　125Ⅴ.地球環境研究部門　……　136Ⅵ.高性能計算システム研究部門　……　146Ⅶ.計算情報学研究部門　……　165 Ⅶ-1.データ基盤分野　……　165 Ⅶ-2.計算メディア分野　……　17

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies

This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective

Multimodal Pattern Recognition of Social Signals in Human-Computer-InteractionFirst IAPR TC3 Workshop, MPRSS 2012, Tsukuba, Japan, November 11, 2012, Revised Selected Papers /

VIII, 131 p. 49 illus.online resource