Lightweight Soft Robotic Glove with Whole-Hand Finger Motion Tracking for Hand Rehabilitation in Virtual Reality

Li, Fengguan; Chen, Jiahong; Zhou, Zhitao; Xie, Jiefeng; Gao, Zishu; Xiao, Yuxiang; Dai, Pei; Xu, Chanchan; Wang, Xiaojie; Zhou, Yitong

doi:10.3390/biomimetics8050425

Cited by 4 publications

(2 citation statements)

References 28 publications

(29 reference statements)

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“…The device’s segments align with the anatomical divisions of the human limb, and its rotational axis essentially mirrors that of the human limb [ 37 ]. The soft robotic glove is distinct from other exoskeletons in that it employs soft actuators instead of hard ones, specifically designed for functional hand rehabilitation [ 38 ]. In contrast, end-effector robots generate movement through their most distal segment without a one-to-one joint correspondence [ 36 ].…”

Section: Concept and Categories Of Therapeutic Robots For Post-stroke...mentioning

confidence: 99%

Therapeutic robots for post-stroke rehabilitation

Hong,

Li,

Bao

et al. 2024

Medical Review

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Stroke is a prevalent, severe, and disabling health-care issue on a global scale, inevitably leading to motor and cognitive deficits. It has become one of the most significant challenges in China, resulting in substantial social and economic burdens. In addition to the medication and surgical interventions during the acute phase, rehabilitation treatment plays a crucial role in stroke care. Robotic technology takes distinct advantages over traditional physical therapy, occupational therapy, and speech therapy, and is increasingly gaining popularity in post-stroke rehabilitation. The use of rehabilitation robots not only alleviates the workload of healthcare professionals but also enhances the prognosis for specific stroke patients. This review presents a concise overview of the application of therapeutic robots in post-stroke rehabilitation, with particular emphasis on the recovery of motor and cognitive function.

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Section: Concept and Categories Of Therapeutic Robots For Post-stroke...mentioning

confidence: 99%

Therapeutic robots for post-stroke rehabilitation

Hong,

Li,

Bao

et al. 2024

Medical Review

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“…By wearing a data glove, operators can manipulate mechanical arms in real time by changing hand movements. This offers higher operation precision and freedom of freedom, particularly during tasks such as grasping or placement, demonstrating the immense potential of data gloves [25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Teleoperated Grasping Using Data Gloves Based on Fuzzy Logic Controller

Lu,

Jin,

Liu

et al. 2024

Biomimetics

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Teleoperated robots have attracted significant interest in recent years, and data gloves are one of the commonly used devices for their operation. However, existing solutions still encounter two challenges: the ways in which data gloves capture human operational intentions and achieve accurate mapping. In order to address these challenges, we propose a novel teleoperation method using data gloves based on fuzzy logic controller. Firstly, the data are collected and normalized from the flex sensors on data gloves to identify human manipulation intentions. Then, a fuzzy logic controller is designed to convert finger flexion information into motion control commands for robot arms. Finally, experiments are conducted to demonstrate the effectiveness and precision of the proposed method.

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Conductive polymer composites-enable self-sensing twisted string actuators

Xu,

Dong,

et al. 2024

Mod. Phys. Lett. B

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Twisted string actuators (TSAs) are innovative linear soft actuators that can mimic natural muscle contraction. However, obtaining feedback on their stroke requires cumbersome external sensors that compromise their compliance. We addressed this by developing self-sensing strings using conductive polymer composites (CPCs). The CPC strings exhibit electrical resistance changes in response to strain, enabling stroke sensing by the strings themselves. We fabricated CPCs strings with varying concentrations of multi-walled carbon nanotubes (MWCNTs). Characterization revealed excellent conductivity, tensile strength exceeding 30 N, tunable strain sensitivity via MWCNTs concentration variation, as well as stable and repeatable strain-dependent resistance changes. Optimization via a high-strength core fiber enabled the CPCs strings to withstand over 6[Formula: see text]kg loading with enhanced stroke and minimal resistance variation. We achieved at least a 97.8% linear correlation between resistance change rate and contraction rate in twisting experiments. This research provides a self-contained stroke sensor compatible with high-load soft TSAs, overcoming limitations of external sensors. The simple yet effective sensing mechanism could spur adoption of TSA in robotics.

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Lightweight Soft Robotic Glove with Whole-Hand Finger Motion Tracking for Hand Rehabilitation in Virtual Reality

Cited by 4 publications

References 28 publications

Therapeutic robots for post-stroke rehabilitation

Therapeutic robots for post-stroke rehabilitation

Teleoperated Grasping Using Data Gloves Based on Fuzzy Logic Controller

Conductive polymer composites-enable self-sensing twisted string actuators

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