Abstract
In telemedicine, where the convergence of different types of medical treatment occurs, it is very important to establish credibility regarding the mutual communication between patients and medical workers by acquiring and sharing more accurate data. For rehabilitation treatment in particular, where motion data are required, auxiliary equipment such as a Kinect sensor is being more widely used. This study proposes a methodology for improving the motion recognition rate by compensating the noise from a Kinect sensor using a 3D autoregressive model. Moreover, this study investigates the methods applied for vitalizing the area of telemedicine under this particular trend.
Highlights
As people are placing increasingly high expectations on their health, the need for acquiring and recognizing relevant information is growing
We tried to determine whether an auxiliary device such as a Kinect sensor can be used to recognize motions more precisely when accompanied with a mathematical compensation model in the field of telemedicine, which allows patients and medical workers to communicate with each other remotely
This research proved that the motion recognition rate can be improved when the noise from a Kinect sensor is compensated using a 3D autoregressive model, and we examined certain possibilities for improving the role of health communication in the area of telemedicine
Summary
As people are placing increasingly high expectations on their health, the need for acquiring and recognizing relevant information is growing Along with this growth in expectations, in the area of health communication, which helps with smoothing the interaction between patients and medical workers, the acquisition of personal health-related data and a precise delivery of the significance of such data are playing a greater role [1]. Telemedicine is playing an appropriate role in disease protection, diagnosis, curing, and recovery by attracting the proper behavioral changes from patients based on their personal health data acquired from credible communication between the patients and medical personnel [2]. Kinect, which was originally developed for gaming but whose applications have been expanded into many areas such as medical auxiliary devices such as KiReS, has become very popular [4]
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