IMU-based motion capture system for rehabilitation applications: A systematic review

Gu, Chenyu; Lin, Weicong; He, X. T.; Zhang, Lei; Zhang, Mingming

doi:10.1016/j.birob.2023.100097

Cited by 15 publications

(18 citation statements)

References 69 publications

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“…These systems are under development for achieving power-efficient chips or lower-consumption transmission methods to overcome sensor drift and low battery life as well as minimizing sensor errors. 35 …”

Section: Resultsmentioning

confidence: 99%

Evidence-based position paper on Physical and Rehabilitation Medicine (PRM) professional practice on telerehabilitation. The European PRM position (UEMS PRM Section)

ZAMPOLINI,

ORAL,

BAROTSIS

et al. 2024

Eur J Phys Rehabil Med

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INTRODUCTION The evidence on the utility and effectiveness of rehabilitation interventions delivered via telerehabilitation is growing rapidly. Telerehabilitation is expected to have a key role in rehabilitation in the future. AIM The aim of this evidence-based position paper (EBPP) is to improve PRM physicians’ professional practice in telerehabilitation to be delivered to improve functioning and to reduce activity limitations and/or participation restrictions in individuals with a variety of disabling health conditions. METHODS To produce recommendations for PRM physicians on telerehabilitation, a systematic review of the literature and a consensus procedure by means of a Delphi process have been performed involving the delegates of all European countries represented in the UEMS PRM Section. RESULTS The systematic literature review is reported together with the 32 recommendations resulting from the Delphi procedure. CONCLUSIONS It is recommended that PRM physicians deliver rehabilitation services remotely, via digital means or using communication technologies to eligible individuals, whenever required and feasible in a variety of health conditions in favor of the patient and his/her family, based on evidence of effectiveness and in compliance with relevant regulations. This EBPP represents the official position of the European Union through the UEMS PRM Section and designates the professional role of PRM physicians in telerehabilitation.

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Section: Resultsmentioning

confidence: 99%

Evidence-based position paper on Physical and Rehabilitation Medicine (PRM) professional practice on telerehabilitation. The European PRM position (UEMS PRM Section)

ZAMPOLINI,

ORAL,

BAROTSIS

et al. 2024

Eur J Phys Rehabil Med

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show abstract

“…With the increasing availability and decreasing cost of motion tracking options, IMU-based gait analysis has grown significantly [ 49 , 50 , 51 , 52 , 53 , 54 ] and investigators have leveraged instrumenting the TUG as a way to enhance its predictive value (e.g., [ 13 , 14 , 16 , 18 , 55 , 56 ], but see also [ 17 ]).…”

Section: Discussionmentioning

confidence: 99%

A Comparison of Walking Behavior during the Instrumented TUG and Habitual Gait

Agathos,

Velisar,

Shanidze

2023

Sensors

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The timed up and go test (TUG) is a common clinical functional balance test often used to complement findings on sensorimotor changes due to aging or sensory/motor dysfunction. The instrumented TUG can be used to obtain objective postural and gait measures that are more sensitive to mobility changes. We investigated whether gait and body coordination during TUG is representative of walking. We examined the walking phase of the TUG and compared gait metrics (stride duration and length, walking speed, and step frequency) and head/trunk accelerations to normal walking. The latter is a key aspect of postural control and can also reveal changes in sensory and motor function. Forty participants were recruited into three groups: young adults, older adults, and older adults with visual impairment. All performed the TUG and a short walking task wearing ultra-lightweight wireless IMUs on the head, chest, and right ankle. Gait and head/trunk acceleration metrics were comparable across tasks. Further, stride length and walking speed were correlated with the participants’ age. Those with visual impairment walked significantly slower than sighted older adults. We suggest that the TUG can be a valuable tool for examining gait and stability during walking without the added time or space constraints.

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“…The essential of Mocap is acquiring the 3D coordinates of each key point [24,25]. Mocap technology is widely applied in human activities [26,27] such as sports and entertainment, as well as robotic exploration fields for trajectory tracking and controlling [28].…”

Section: Motion Capture Methodsmentioning

confidence: 99%

Easy Rocap: A Low-Cost and Easy-to-Use Motion Capture System for Drones

Wang,

Chen,

et al. 2024

Drones

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Fast and accurate pose estimation is essential for the local motion control of robots such as drones. At present, camera-based motion capture (Mocap) systems are mostly used by robots. However, this kind of Mocap system is easily affected by light noise and camera occlusion, and the cost of common commercial Mocap systems is high. To address these challenges, we propose Easy Rocap, a low-cost, open-source robot motion capture system, which can quickly and robustly capture the accurate position and orientation of the robot. Firstly, based on training a real-time object detector, an object-filtering algorithm using class and confidence is designed to eliminate false detections. Secondly, multiple-object tracking (MOT) is applied to maintain the continuity of the trajectories, and the epipolar constraint is applied to multi-view correspondences. Finally, the calibrated multi-view cameras are used to calculate the 3D coordinates of the markers and effectively estimate the 3D pose of the target robot. Our system takes in real-time multi-camera data streams, making it easy to integrate into the robot system. In the simulation scenario experiment, the average position estimation error of the method is less than 0.008 m, and the average orientation error is less than 0.65 degrees. In the real scenario experiment, we compared the localization results of our method with the advanced LiDAR-Inertial Simultaneous Localization and Mapping (SLAM) algorithm. According to the experimental results, SLAM generates drifts during turns, while our method can overcome the drifts and accumulated errors of SLAM, making the trajectory more stable and accurate. In addition, the pose estimation speed of our system can reach 30 Hz.

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IMU-based motion capture system for rehabilitation applications: A systematic review

Cited by 15 publications

References 69 publications

Evidence-based position paper on Physical and Rehabilitation Medicine (PRM) professional practice on telerehabilitation. The European PRM position (UEMS PRM Section)

Evidence-based position paper on Physical and Rehabilitation Medicine (PRM) professional practice on telerehabilitation. The European PRM position (UEMS PRM Section)

A Comparison of Walking Behavior during the Instrumented TUG and Habitual Gait

Easy Rocap: A Low-Cost and Easy-to-Use Motion Capture System for Drones

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