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 10 publications

(2 citation statements)

References 28 publications

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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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Design, modeling, and preliminary evaluation of a 3D-printed wrist–hand grasping orthosis for stroke survivors

Ledoux,

Barth

2024

Wearable Technol.

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Stroke causes neurological and physical impairment in millions of people around the world every year. To better comprehend the upper-limb needs and challenges stroke survivors face and the issues associated with existing technology and formulate ideas for a technological solution, the authors conversed with 153 members of the ecosystem (60 neuro patients, 30 caregivers, and 63 medical providers). Patients fell into two populations depending on their upper-limb impairment: spastic (stiff, clenched hands) and flaccid (limp hands). For this work, the authors chose to focus on the second category and developed a set of design constraints based on the information collected through customer discovery. With these in mind, they designed and prototyped a 3D-printed powered wrist–hand grasping orthosis (exoskeleton) to aid in recovery. The orthosis is easily custom-sized based on two parameters and derived anatomical relationships. The researchers tested the prototype on a survivor of stroke and modeled the kinematic behavior of the orthosis with and without load. The prototype neared or exceeded the target design constraints and was able to grasp objects consistently and stably, as well as exercise the patients’ hands. In particular, donning time was only 42 s, as compared to the next fastest time of 3 min reported in literature. This device has the potential for effective neurorehabilitation in a home setting, and it lays the foundation for clinical trials and further device development.

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

Cited by 10 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

Design, modeling, and preliminary evaluation of a 3D-printed wrist–hand grasping orthosis for stroke survivors

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