Analysis of the Accuracy and Robustness of the Leap Motion Controller

Weichert, Frank; Bachmann, Daniel; Rudak, Bartholomäus; Fisseler, Denis

doi:10.3390/s130506380

Cited by 773 publications

(364 citation statements)

References 23 publications

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“…(Bachmann, Weichert, & Rinkenauer, 2015). Thereby, a deviation between a desired 3D position and the average measured positions below 0.2 mm has been obtained for static setups and of 1.2 mm for dynamic setups, minimal in reducing the LMC outcomes since the involuntary hand tremor amplitude varies between 0.4 mm ± 0.2 mm (Weichert, Bachmann, Rudak, & Fisseler, 2013 …”

Section: Functioningmentioning

confidence: 98%

Leap Motion Technology In Learning

Drăgoi¹

2017

The European Proceedings of Social and Behavioural Sciences

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The paper presents the Leap Motion Technology, the dedicated software development environments, as well as some results in using it for learning and training. The Leap Motion Controller is a Human Interface Device (HID) that is connected to a computer and enables the user to interact with the digital system using hand movements, allowing the interaction by simply making gestures above the device, without physical contact with the digital system. The captured information is sent to the software on the host computer and 3D information is reconstructed with sub-millimeter precision from the 2D images sent by the cameras. The development of dedicated applications benefits from APIs for JavaScript, Unity, C#, C++, Java, Python, Objective-C and Unreal engine. The Leap Motion can be thus easily used in Virtual Reality applications, in games or just as a touch-less interface for various software products, adding a new way to interact with the digital environment. The designed applications use the gestures to play games, create art, practice exercises and learn using the 'hands on' experience. The device is a great tool for experimentation and learning, allowing the students to have natural 3D interactions in domains like sculpture, painting, design, music, medicine, natural sciences, engineering, etc… With Leap Motion, students can have immersive experiences in Virtual Reality environments or control intuitively digital devices in the real world using a simple and affordable interface.

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Section: Functioningmentioning

confidence: 98%

Leap Motion Technology In Learning

Drăgoi¹

2017

The European Proceedings of Social and Behavioural Sciences

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“…The device has been shown to be an accurate and robust sensor [15], and its validity and reliability to measure the 15-second G-R test is reported in our previous article. This study extends the proof of concept work by reporting normative values for young healthy individuals regarding both the frequency of cycles as well as the magnitude of motion during a 15-second test and a 3-minute test.…”

Section: Introductionmentioning

confidence: 93%

Development of a new assessment tool for cervical myelopathy using hand-tracking sensor: Part 2: normative values

Alagha

Dunstan

Sperwer³

et al. 2017

Eur Spine J

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Purpose To set a baseline measurement of the number of hand flexion-extension cycles and analyse the degree of motion in young healthy individuals, measured by Leap Motion Controller (LMC), besides describing gender and dominant hand differences.Methods Fifty healthy participants were asked to fully grip-and-release their dominant hand as rapidly as possible for a maximum of three minutes or until subjects fatigued, while wearing a nonmetal wrist splint. Participants also performed a 15-second grip-and-release test. An assessor blindly counted the frequency of grip-and-release cycles and magnitude of motion from the LMC data. ResultsThe mean number of the 15-second G-R cycles recorded by LMC was: 47.7±6.5 (test 1, LMC); and 50.2±6.5 (test 2, LMC). In the 3-minute test, the total number of hand flexion-extension cycles and the degree of motion decreased as the person fatigued. However, the decline in frequency preceded that of motion's magnitude. The mean frequency of cycles per 10-second interval decreased from 35.4 to 26.6 over the 3 minutes. Participants reached fatigue from 59.38 seconds; 43 participants were able to complete the 3-minute test.Conclusions Normative values of the frequency of cycles and extent of motion for young healthy individuals, aged 18-35 years, are provided. Future work is needed to establish valued in a wider age range and in a clinical setting.

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“…The operation range varies from 25 to 650 millimetres above the controller. The average accuracy of the sensor is about 0.7 millimetres [14]. The Leap Motion controller does not perform any computations, therefore the acquisition and processing speed depend strongly on the used PC specification.…”

Section: Data Acquisition and Feature Extractionmentioning

confidence: 99%

Sequential Classification of Palm Gestures Based on A* Algorithm and MLP Neural Network for Quadrocopter Control

Wodziński

Krzyżanowska

2017

Metrology and Measurement Systems

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This paper presents an alternative approach to the sequential data classification, based on traditional machine learning algorithms (neural networks, principal component analysis, multivariate Gaussian anomaly detector) and finding the shortest path in a directed acyclic graph, using A* algorithm with a regression-based heuristic. Palm gestures were used as an example of the sequential data and a quadrocopter was the controlled object. The study includes creation of a conceptual model and practical construction of a system using the GPU to ensure the realtime operation. The results present the classification accuracy of chosen gestures and comparison of the computation time between the CPU-and GPU-based solutions.

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Analysis of the Accuracy and Robustness of the Leap Motion Controller

Cited by 773 publications

References 23 publications

Leap Motion Technology In Learning

Leap Motion Technology In Learning

Development of a new assessment tool for cervical myelopathy using hand-tracking sensor: Part 2: normative values

Sequential Classification of Palm Gestures Based on A* Algorithm and MLP Neural Network for Quadrocopter Control

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