RehabHand: Oriented-tasks serious games for upper limb rehabilitation by using leap motion controller and target population in spinal cord injury

2021 ◽  
pp. 1-9
Author(s):  
Ana de los Reyes-Guzmán ◽  
Vicente Lozano-Berrio ◽  
María Alvarez-Rodríguez ◽  
Elisa López-Dolado ◽  
Silvia Ceruelo-Abajo ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Neurological Diseases ◽  
Low Cost ◽  
Target Population ◽  
Hand Movements ◽  
Leap Motion ◽  
Motion Controller ◽  
Upper Limb Rehabilitation ◽  
Leap Motion Controller ◽  
Cord Injury

BACKGROUND: There is a growing interest in the use of technology in the field of neurorehabilitation in order to quantify and generate knowledge about sensorimotor disorders after neurological diseases, understanding that the technology has a high potential for its use as therapeutic tools. Taking into account that the rehabilitative process of motor disorders should extend beyond the inpatient condition, it’s necessary to involve low-cost technology, in order to have technological solutions that can approach the outpatient period at home. OBJECTIVE: to present the virtual applications-based RehabHand prototype for the rehabilitation of manipulative skills of the upper limbs in patients with neurological conditions and to determine the target population with respect to spinal cord injured patients. METHODS: Seven virtual reality applications have been designed and developed with a therapeutic sense, manipulated by means of Leap Motion Controller. The target population was determined from a sample of 40 people, healthy and patients, analyzing hand movements and gestures. RESULTS: The hand movements and gestures were estimated with a fitting rate between the range 0.607–0.953, determining the target population by cervical levels and upper extremity motor score. CONCLUSIONS: Leap Motion is suitable for a determined sample of cervical patients with a rehabilitation purpose.

scholarly journals Terapia baseada em realidade virtual usando o Leap Motion Controller para reabilitação do membro superior após acidente vascular cerebral

2017 ◽  
Vol 27 (2) ◽  
pp. 25935
Author(s):  
Nayron Medeiros Soares ◽  
Gabriela Magalhães Pereira ◽  
Renata Italiano da Nóbrega Figueiredo ◽  
Gleydson Silva Morais ◽  
Sandy Gonzaga De Melo
Keyword(s):  
Virtual Reality ◽  
Upper Limb ◽  
Active Role ◽  
Reality Therapy ◽  
Leap Motion ◽  
Motion Controller ◽  
Upper Limb Rehabilitation ◽  
Post Stroke ◽  
Leap Motion Controller ◽  
Hand Coordination

*** Virtual reality therapy using the Leap Motion Controller for post-stroke upper limb rehabilitation ***AIMS: To evaluate the applicability of a virtual reality-based motion sensor for post-stroke upper limb rehabilitation.CASES DESCRIPTION: Three post-stroke patients were subjected to virtual reality training for rehabilitation of their upper limbs using the Leap Motion Controller technology and the game Playground 3D® for 3 consecutive days. On the first and last days, the Box and Blocks test, the De Melo Eye-Hand Coordination Test, and transcranial magnetic stimulation were applied. On the last day, the patients were evaluated with the Experience Evaluation Form. After the proposed training, a lower motor threshold was observed in both cerebral hemispheres, as well as better performance in the tests that evaluated hand and eye-hand coordination skills. The proposed therapy was well received by the patients.CONCLUSIONS: No adverse effects were observed, and promising and precise results were obtained for the virtual reality-based training using the Leap Motion Controller and Playground 3D®. The training allowed patients to have an active role in the rehabilitation of stroke-induced upper limb sequelae.

scholarly journals Feasibility and Performance Validation of a Leap Motion Controller for Upper Limb Rehabilitation

Robotics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 130
Author(s):  
Marcus R. S. B. de Souza ◽  
Rogério S. Gonçalves ◽  
Giuseppe Carbone
Keyword(s):  
Upper Limb ◽  
Industrial Robot ◽  
Human Hand ◽  
Leap Motion ◽  
Tracking Accuracy ◽  
Motion Controller ◽  
Upper Limb Rehabilitation ◽  
Leap Motion Controller ◽  
Limb Rehabilitation ◽  
Accuracy And Repeatability

The leap motion controller is a commercial low-cost marker-less optical sensor that can track the motion of a human hand by recording various parameters. Upper limb rehabilitation therapy is the treatment of people having upper limb impairments, whose recovery is achieved through continuous motion exercises. However, the repetitive nature of these exercises can be interpreted as boring or discouraging while patient motivation plays a key role in their recovery. Thus, serious games have been widely used in therapies for motivating patients and making the therapeutic process more enjoyable. This paper explores the feasibility, accuracy, and repeatability of a leap motion controller (LMC) to be applied in combination with a serious game for upper limb rehabilitation. Experimental feasibility tests are carried out by using an industrial robot that replicates the upper limb motions and is tracked by using an LMC. The results suggest a satisfactory performance in terms of tracking accuracy although some limitations are identified and discussed in terms of measurable workspace.

scholarly journals A Haptic feedback system based on leap motion controller for prosthetic hand application

2020 ◽  
Vol 10 (6) ◽  
pp. 5772
Author(s):  
Hussam K. Abdul-Ameer ◽  
Luma Issa Abdul-Kreem ◽  
Huda Adnan ◽  
Zahra Sami
Keyword(s):  
Haptic Feedback ◽  
Feedback System ◽  
Optimal Placement ◽  
Infrared Light ◽  
Hand Movements ◽  
Prosthetic Hand ◽  
Processing Unit ◽  
Leap Motion ◽  
Motion Controller ◽  
Leap Motion Controller

Leap Motion Controller (LMC) is a gesture sensor consists of three infrared light emitters and two infrared stereo cameras as tracking sensors. LMC translates hand movements into graphical data that are used in a variety of applications such as virtual/augmented reality and object movements control. In this work, we intend to control the movements of a prosthetic hand via (LMC) in which fingers are flexed or extended in response to hand movements. This will be carried out by passing in the data from the Leap Motion to a processing unit that processes the raw data by an open-source package (Processing i3) in order to control five servo motors using a micro-controller board. In addition, haptic setup is proposed using force sensors (FSR) and vibro-motors in which the speed of these motors is proportional to the amount of the grasp force exerted by the prosthetic hand. Investigation for optimal placement of the FSRs on a prosthetic hand to obtain convenient haptic feedback has been carried out. The results show the effect of object shape and weight on the obtained response of the FSR and how they influence the locations of the sensors.

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