Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare

Remote monitoring of patients is considered as one of the reliable alternatives to healthcare solutions for elderly and/or chronically ill patients. Further, monitoring interaction with people plays an important role in diagnosis and in managing patients that are suffering from mental illnesses, suc...

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Veröffentlicht in:	International journal of machine learning and cybernetics 2019-09, Vol.10 (9), p.2529-2540
Hauptverfasser:	Saini, Rajkumar, Kumar, Pradeep, Kaur, Barjinder, Roy, Partha Pratim, Dogra, Debi Prosad, Santosh, K. C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Autism Cognitive ability Complex Systems Computational Intelligence Control Engineering Health care Internet of Things Mechatronics Mental disorders Monitoring systems Neural networks Older people Original Article Pattern Recognition Remote monitoring Robotics Sensors Smartphones Social networks Society Support vector machines Systems Biology Telemedicine Velocity
Online-Zugang:	Volltext
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