A lot of rehabilitation devices for fingers are researched, currently. After leaving a hospital, an intervention by therapists decreases significantly. Therefore, the rehabilitation device is required functions not only the rehabilitation but also the automatic evaluation function. In this study, we aim to develop the finger rehabilitation device for home rehabilitation. Especially, in this report, we propose automatic evaluation system of the finger independent movement. Movements from index finger to little finger, are measured by pressure sensors on the prototype we developed. Measured data are used as time-series signals, states of each finger are quantified by calculating dissimilarities between healthy subject signals and patient signals. Finally, an entire finger movement is quantified by integrating all dissimilarities. From the experiment conducted with hemiplegia patients and healthy subjects, we could show the change of the integrated dissimilarity corresponding to the level of the hemiplegia.
To judge and suggest optimal training for realizing early rehabilitation, the estimation using multiple RGB-D sensors is proposed. The system consists with multiple RGB-D sensors and measuring computers connects with each RGB-D sensor, a server, which integrates information from each computer. Based on measurements of a target person by a RGB-D sensor, each computer estimates positions of all joints of the target. The server collects and integrates joint information from each computer. By integrating information, the server compensates occlusion. Based on the integrated joint information, the system judges the grade of paralyze and the state of the target and suggests training to the target, family and so on, supporting menu to an other system or supporting robot/robots. In this paper, a method for position calibration of each RGB-D sensors and a method for integrating information measured by each sensor are described especially on Microsoft KINECT V2. By using implemented experimental system, the validity of the proposed method is shown.