A Patient Transfer Skill Training System for Caregivers using a Depth Sensor and Kalman Filters

  • 謝 明峰

Student thesis: Master's Thesis


This thesis is to design a training system for assisting nursing students or caregivers in learning transfer skills to avoid injury The system is focused on transferring a patient lying on bed to a wheelchair A nursing teacher would use the proposed system to help nursing students in checking their performance especially postures The hardware platform is a personal computer equipped with a depth sensor The depth sensor is used for capturing the images and postures with skeletons of the teacher and the caregivers Currently available depth sensor software packages generally cannot handle the body overlap issue There are two bodies and their bodies are very close the package would generate wrong postures for the actors Hence it is very difficult to separate and track the bodies clearly of the caregiver and patient who are close interacting during the patient transfer process To solve this issue Kalman filters are introduced in this research to track every joint and predict its position when it is hidden The experimental results showed that Kalman filter improves most of the body overlap cases
Date of Award2018 Aug 18
Original languageEnglish
SupervisorTing-Wei Hou (Supervisor)

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