Category: Smart Long-Term Care

Exhibitor: NATIONAL KAOHSIUNG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Booth No: J334

 

Characteristic

 

The ToF-based AI abnormal posture recognition system includes ToF sensors, ToF imaging dataset (ToF Dataset), AI edge computing platform, ToFPose AI software model (ToFPose) and ToF abnormal posture recognition algorithm. The system uses ToF sensors to capture spatial human images, and applies AI and DL technologies to identify the abnormal posture action of ToF images. It can be applied to any space in the nursing place and achieve de-identification and privacy-protected real-time abnormal posture event notification purpose.
ToFEye can be installed in hospitals, nursing institutions and other medical care places to establish 24-hour, active, de-identified patient abnormal behavior detection. Especially for the abnormal postures of the human body imaged in the Bathroom and Toilet, including, sitting on the toilet for a long time, staying in the toilet for a long time, falling and slipping, etc. In the future, big data analysis can be used to generate an abnormal behavior prediction model to send warning messages in advance before the patient falls, so that there are no blind spots in monitoring and time-lag care in warning, so as to achieve the goal of improving patient safety in hospitalization.

 

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