Research and Applications on Virtual-Hand Technology

2011 ◽  
pp. 93-98
Author(s):  
XiaoGang Wang ◽  
YueWei Bai ◽  
Kai Liu
Keyword(s):  
Virtual Hand

Virtual Hand Representation and Motion Control for Smart Wheelchair with Touch-Based Extended Hand Projection

2019 ◽  
Vol 139 (5) ◽  
pp. 662-669
Author(s):  
Yuki Asai ◽  
Ryuichi Enomoto ◽  
Yuta Ueda ◽  
Daisuke Iwai ◽  
Kosuke Sato
Keyword(s):  
Motion Control ◽  
Virtual Hand ◽  
Smart Wheelchair

An Integrated Virtual Hand Platform for Evaluation of Model-Based Control of Hand Prosthesis

2021 ◽  
Author(s):  
Zhuo-Zhi Zhang ◽  
Jie Zhang ◽  
Chuan-Xin M. Niu ◽  
Man-Zhao Hao ◽  
Ning Lan
Keyword(s):  
Model Based Control ◽  
Hand Prosthesis ◽  
Virtual Hand ◽  
Model Based

scholarly journals Electrotactile Feedback in a Virtual Hand Rehabilitation Platform: Evaluation and Implementation

2019 ◽  
Vol 16 (4) ◽  
pp. 1556-1565
Author(s):  
Kairu Li ◽  
Peter Boyd ◽  
Yu Zhou ◽  
Zhaojie Ju ◽  
Honghai Liu
Keyword(s):  
Hand Rehabilitation ◽  
Virtual Hand

scholarly journals Influence of virtual reality visual feedback on the illusion of movement induced by tendon vibration of wrist in healthy participants

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242416
Author(s):  
Salomé Le Franc ◽  
Mathis Fleury ◽  
Mélanie Cogne ◽  
Simon Butet ◽  
Christian Barillot ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Visual Feedback ◽  
Visual Cues ◽  
Static Condition ◽  
Likert Scale ◽  
Tendon Vibration ◽  
Virtual Hand ◽  
Significant Difference ◽  
Illusory Movement ◽  
Healthy Participants

Introduction Illusion of movement induced by tendon vibration is an effective approach for motor and sensory rehabilitation in case of neurological impairments. The aim of our study was to investigate which modality of visual feedback in Virtual Reality (VR) associated with tendon vibration of the wrist could induce the best illusion of movement. Methods We included 30 healthy participants in the experiment. Tendon vibration inducing illusion of movement (wrist extension, 100Hz) was applied on their wrist during 3 VR visual conditions (10 times each): a moving virtual hand corresponding to the movement that the participants could feel during the tendon vibration (Moving condition), a static virtual hand (Static condition), or no virtual hand at all (Hidden condition). After each trial, the participants had to quantify the intensity of the illusory movement on a Likert scale, the subjective degree of extension of their wrist and afterwards they answered a questionnaire. Results There was a significant difference between the 3 visual feedback conditions concerning the Likert scale ranking and the degree of wrist’s extension (p<0.001). The Moving condition induced a higher intensity of illusion of movement and a higher sensation of wrist’s extension than the Hidden condition (p<0.001 and p<0.001 respectively) than that of the Static condition (p<0.001 and p<0.001 respectively). The Hidden condition also induced a higher intensity of illusion of movement and a higher sensation of wrist’s extension than the Static condition (p<0.01 and p<0.01 respectively). The preferred condition to facilitate movement’s illusion was the Moving condition (63.3%). Conclusions This study demonstrated the importance of carefully selecting a visual feedback to improve the illusion of movement induced by tendon vibration, and the increase of illusion by adding VR visual cues congruent to the illusion of movement. Further work will consist in testing the same hypothesis with stroke patients.

scholarly journals BCI training to move a virtual hand reduces phantom limb pain

Neurology ◽  
2020 ◽  
Vol 95 (4) ◽  
pp. e417-e426
Author(s):  
Takufumi Yanagisawa ◽  
Ryohei Fukuma ◽  
Ben Seymour ◽  
Masataka Tanaka ◽  
Koichi Hosomi ◽  
...  
Keyword(s):  
Crossover Trial ◽  
Phantom Limb Pain ◽  
Phantom Limb ◽  
Class Iii ◽  
Limb Pain ◽  
Virtual Hand ◽  
Before And After ◽  
Hand Image

ObjectiveTo determine whether training with a brain–computer interface (BCI) to control an image of a phantom hand, which moves based on cortical currents estimated from magnetoencephalographic signals, reduces phantom limb pain.MethodsTwelve patients with chronic phantom limb pain of the upper limb due to amputation or brachial plexus root avulsion participated in a randomized single-blinded crossover trial. Patients were trained to move the virtual hand image controlled by the BCI with a real decoder, which was constructed to classify intact hand movements from motor cortical currents, by moving their phantom hands for 3 days (“real training”). Pain was evaluated using a visual analogue scale (VAS) before and after training, and at follow-up for an additional 16 days. As a control, patients engaged in the training with the same hand image controlled by randomly changing values (“random training”). The 2 trainings were randomly assigned to the patients. This trial is registered at UMIN-CTR (UMIN000013608).ResultsVAS at day 4 was significantly reduced from the baseline after real training (mean [SD], 45.3 [24.2]–30.9 [20.6], 1/100 mm; p = 0.009 < 0.025), but not after random training (p = 0.047 > 0.025). Compared to VAS at day 1, VAS at days 4 and 8 was significantly reduced by 32% and 36%, respectively, after real training and was significantly lower than VAS after random training (p < 0.01).ConclusionThree-day training to move the hand images controlled by BCI significantly reduced pain for 1 week.Classification of evidenceThis study provides Class III evidence that BCI reduces phantom limb pain.

scholarly journals Visual appearance of the virtual hand affects embodiment in the virtual hand illusion

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Maria Pyasik ◽  
Gaetano Tieri ◽  
Lorenzo Pia
Keyword(s):  
Visual Appearance ◽  
Virtual Hand

Designing Product Forms Using a Virtual Hand and Deformable Models

2006 ◽  
Author(s):  
Meng-Dar Shieh ◽  
Chih-Chieh Yang
Keyword(s):  
Product Design ◽  
Deformable Models ◽  
Product Form ◽  
Design System ◽  
Input Device ◽  
3D Cad ◽  
Virtual Hand ◽  
Product Form Design ◽  
Industrial Designers ◽  
Product Forms

This paper presents a computer-aided conceptual design system for developing product forms. The system integrates a virtual hand, which is manipulated by the designer, with deformable models representing the product forms. Designers can use gestural input and full hand pointing in the system to discover potential new ways for product form design. In the field of industrial design, styling and ergonomics are two important factors that determine a successful product design. Traditionally, designers explore possible concepts by sketching their ideas and then using clay or foam mock-ups to test them during the early phases of product design. With our deformable modeling simulation system, we provide a useful and efficient tool for industrial designers that enable to produce product form proposals efficiently without unnecessary trial and error. Designers can input pre-scanned 3D raw data or a 3D CAD model as an initial prototype. Then, the input model is given the material’s elastic property via the construction of a volume-like mass-spring-damping system. The virtual hand in the system constantly changes gestures as the designer manipulates it with a glove-based input device. The product form will be deformed or shaped according to the amount of force exerted by the virtual hand. A mesh smoothing feature called “PN-triangle” is also used to improve the appearance of the deformed model. Finally, a physical prototype with volume and weight is generated using a rapid prototyping machine. Designers can use these mock-ups to conduct further ergonomic evaluations.

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