scholarly journals Using Fitt's Law to Model Arm Motion Tracked in 3D by a Leap Motion Controller for Virtual Reality Upper Arm Stroke Rehabilitation

Author(s):  
D. E. Holmes ◽  
D. K. Charles ◽  
P. J. Morrow ◽  
S. McClean ◽  
S. M. McDonough
Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1072 ◽  
Author(s):  
Tibor Guzsvinecz ◽  
Veronika Szucs ◽  
Cecilia Sik-Lanyi

As the need for sensors increases with the inception of virtual reality, augmented reality and mixed reality, the purpose of this paper is to evaluate the suitability of the two Kinect devices and the Leap Motion Controller. When evaluating the suitability, the authors’ focus was on the state of the art, device comparison, accuracy, precision, existing gesture recognition algorithms and on the price of the devices. The aim of this study is to give an insight whether these devices could substitute more expensive sensors in the industry or on the market. While in general the answer is yes, it is not as easy as it seems: There are significant differences between the devices, even between the two Kinects, such as different measurement ranges, error distributions on each axis and changing depth precision relative to distance.


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

*** 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.


2021 ◽  
Vol 13 (17) ◽  
pp. 9776
Author(s):  
Macaria Hernández-Chávez ◽  
José M. Cortés-Caballero ◽  
Ángel A. Pérez-Martínez ◽  
Luis F. Hernández-Quintanar ◽  
Karen Roa-Tort ◽  
...  

A Virtual Reality application was developed to be used as an immersive virtual learning strategy for Oculus Rift S Virtual Reality glasses and through Leap Motion Controller™ infrared sensors, focused on students of the Automotive Systems Engineering academic program, as a practical teaching-learning tool in the context of Education 4.0 and the pandemic caused by COVID-19 that has kept schools closed since March 2020. The technological pillars of Industry 4.0 were used to profile students so that they can meet the demands of their professional performance at the industrial level. Virtual Reality (VR) plays a very important role for the production-engineering sector in areas such as design and autonomous cars, as well as in training and driving courses. The VR application provides the student with a more immersive and interactive experience, supported by 3D models of both the main parts that make up the four-stroke combustion engine and the mechanical workshop scenario; it allows the student to manipulate the main parts of the four-stroke combustion engine through the Oculus Rift S controls and the Leap Motion Controller™ infrared sensors, and relate them to the operation of the engine, through the animation of its operation and the additional information shown for each part that makes it up in the application.


2016 ◽  
Author(s):  
Peter Wozniak ◽  
Oliver Vauderwange ◽  
Avikarsha Mandal ◽  
Nicolas Javahiraly ◽  
Dan Curticapean

Author(s):  
Muhammad Ruslan Nuryanto ◽  
DW.Pt.Gde Purwa Samatra ◽  
M. Irfan ◽  
I Made Krisna Dinata ◽  
Anak Agung Sagung Sawitri ◽  
...  

ABSTRACTBackground: Stroke is a problem of neurologist brain who causes occurrence of neurologist deficit such as a weakness of upper extremity. For instance, limited of hand functional and movement because of abnormality tonus that occur instability muscle. Methods: The purpose of this research was to knew effect of additional virtual reality exercise better than conventional exercise to enhancement of functional hand for Stroke patience. This research is experimental study which used a Randomize Control pre-post test design. The first category is 6 samples be given Virtual reality Exercise with Sensor Leap Motion Controller during 30 minutes. And the second category is 6 samples be given conventional exercise during 30 minutes. The times of research for 4 weeks under the supervision of Physiotherapist to do well. Measurement test of hand functional with used of Wolf Motor Function Test instrument. Results: The result of this research showed to the first category occur of ability improvement of hand in the amount of 14,21% and be obtained value p=0,027, which one p<0,05. The second category occur of ability improvement of hand in the amount of 8.47% and be obtained value p=0,001, which one p<0,025. Meanwhile, the different of ability improvement of hand on both categories showed there is a significant different (value p=0,007, which is p=<0,005). The conclusion of this result that Virtual reality Exercise with Sensor Leap Motion Controller better than conventional exercise to enhancement of functional hand for Stroke patience.Keywords: Stroke, ability of hand functional, Exercise of Virtual reality, Conventional exercise, Wolf Motor Function Test.


2017 ◽  
Vol 31 (12) ◽  
pp. 5012-5023 ◽  
Author(s):  
Vasileios Lahanas ◽  
Constantinos Loukas ◽  
Konstantinos Georgiou ◽  
Hani Lababidi ◽  
Dania Al-Jaroudi

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