34 research outputs found

    A Retrofit Passive Foldable Snow Shoe for A Legged Robot to Walk on Snowfield

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    A new attachment for a legged robot to help walking on snowfield is proposed. The device works like a snowshoe for human and prevents the robot from sinking in or slipping on the snow surface. Comparing to a bipedal human, a multi-legged robot has much larger numbers of legs and their ranges of movement are limited. For this reason, it was difficult to attach a large foot without making leg collision or stepping on an adjacent foot. To overcome these problems, this paper proposes an automatic retraction and expansion mechanism of wide snow-contacting framings which are passively operated by gravitation. Also, for the problem of stepping on an adjacent foot, we propose a passive downward-deflection mechanism which allows the lower shoe to smoothly exit from the upper shoe. The experiments to examine the performance of movement on some snowfields and the measurement of slip resistance force showed the effectiveness of our design. The proposed shoe does not rely on any external control logic. Therefore, it is easily attached to many existing legged robots

    Automated Evaluation of Coordinated Movement of Fingers Using Home Rehabilitation Device

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    Home rehabilitation is much in need in ageing societies. Especially, for hemiplegia patients who have paralysis at fingers, it is known that long continuous rehabilitation is effective for recovery. To automate home rehabilitation without the help of a medical specialist, it is desirable not only to provide a rehabilitation procedure but also to give the condition of the paralysis of the patient. In our previous studies, we proposed a robotic device to foster separative voluntary finger lift movement. The device mounts pressure sensors at each finger to monitor the degree of unwanted finger movements. However, it is not clear which is an effective way to measure the condition of paralysis by these finger pressure time series data. In this paper, we propose a new measurement method that is based on the “coordinated movement” of fingers. A patient is asked to perform 4 tasks: pinch2 (pinch movement by index finger and thumb), pinch3 (pinch movement by index, middle and thumb), grasp2 (grasp movement by the ring and little finger), and grasp3 (grasp movement by the middle, ring, and little finger). All pressure time series of finger movements are quantified their dissimilarities with data of standard healthy subjects. We found that the grasp3 has the largest correspondence relation with the degree of paralysis

    Evaluation of Forearm Musclar Function of Hemiplegic Patients Using Displacement MMG

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    To realise an automated self-rehabilitation at home, it is necessary to provide proper feedback on the status of the recovery of the patient. In a simple finger rehabilitation, a fingertip force monitor is used to detect undesired and paralyzed movement, which is used to determine the degree of recovery. In contrast to the fingertip force, the balance of flexion and extension of finger muscles is another essential feature of the paralysis. However, simultaneous monitoring of flexor and extensor is impossible by using a single fingertip pressure sensor. Usually, EMG is used to monitor individual muscular activity. However, inexperienced home user will not be able to deal with electrodes properly. In this paper, we propose a device to monitor flexion and extension by a unit which is easy to handle. Also, we propose a method to derive a degree of recovery using the signals collected from this device. The results by data collected from healthy and stroke patients show the potential effectiveness of our method
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