Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction

Author:

Song Meishu1,Yang Zijiang1,Triantafyllopoulos Andreas2,Nakamura Toru3,Zhang Yongxin3,Ren Zhao2,Takeuchi Hiroki1,Kishi Akifumi4,Ishizawa Tetsuro4,Yoshiuchi Kazuhiro4,Zhang Haojie5,Qian Kun1,Hu Bin5,Schuller Björn W.2,Yamamoto Yoshiharu1

Affiliation:

1. The University of Tokyo,Educational Physiology Laboratory, Graduate School of Education,Japan

2. University of Augsburg,Chair of Embedded Intelligence for Health Care and Wellbeing,Germany

3. Osaka University,Institute for Datability Science,Japan

4. The University of Tokyo,Graduate School of Medicine,Japan

5. Beijing Institute of Technology,Key Laboratory of Brain Health Intelligent Evaluation and Intervention, Ministry of Education,Beijing,China

Funder

National Natural Science Foundation of China

Ministry of Science and Technology

Publisher

IEEE

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