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Autoencoder based data clustering for identifying anomalous repetitive hand movements, and behavioral transition patterns in children.

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第一作者： Nushara,Wedasingha

第一单位： Faculty of Engineering, Sri Lanka Institute of Information Technology, New Kandy Rd, Malabe, Colombo, 10115, Sri Lanka. nushara.w@sliit.lk.

作者： Nushara,Wedasingha ^[1] ; Pradeepa,Samarasinghe ^[2] ; Lasantha,Senevirathna ^[3] ; Michela,Papandrea ^[4] ; Alessandro,Puiatti ^[5]

作者单位： Faculty of Engineering, Sri Lanka Institute of Information Technology, New Kandy Rd, Malabe, Colombo, 10115, Sri Lanka. nushara.w@sliit.lk. ^[1] Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy Rd, Malabe, Colombo, 10115, Sri Lanka. ^[2] Faculty of Engineering, Sri Lanka Institute of Information Technology, New Kandy Rd, Malabe, Colombo, 10115, Sri Lanka. ^[3] Information Systems and Networking Institute (ISIN), University of Applied Sciences and Arts of Southern Switzerland, Via Pobiette, Manno, 6928, Manno, Switzerland. ^[4] Institute of Digital Technologies for Personalized Healthcare (MeDiTech), University of Applied Sciences and Arts of Southern Switzerland, Via Pobiette, Manno, 6928, Manno, Switzerland. ^[5]

关键词 Atypical behaviors Auto-encoders Data clustering Dimension reduction K-means Movement analysis Pattern analysis Repetition counting Repetition frequency Repetitive hand movements Unsupervised learning