Gesture Based Help Identification for Hospital & ElderlyCare Using Dynamic Time Warping: A Systematic Study

Recent advancement of depth imaging sensor technology can provide opportunities, especially in healthcare sector to improve the quality of life of the hospital patients and elderly care institutes by facilitating certain tasks without any assistant and enabling supportive ecosphere. This paper presents a novel hand gesture system via motion capture for appliance control in the hospital environment. A selection of hand gestures were prepared for the subject to perform with a set of questionnaires to learn the user acceptance towards this implementation with the adoption of dynamic time warping (DTW) algorithm for identifying the gestures. The results shown that gestures are easily performed by the patient to control specific tasks in a controlled environment. Most participants agreed that this system is easy to use and learn. The aim of this study is to evaluate the user experience on the proposed gesture setup and study the acceptance of the proposed hand gestures by the subjects.