Comparison of the Performance of the Leap Motion ControllerTM with a Standard Marker-Based Motion Capture System [PDF]
Sensors, 2021 Over the last few years, the Leap Motion Controller™ (LMC) has been increasingly used in clinical environments to track hand, wrist and forearm positions as an alternative to the gold-standard motion capture systems.
Amartya Ganguly +2 more
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Sensors, 2022 The Leap Motion Controller (LMC) is a low-cost markerless optical sensor that performs measurements of various parameters of the hands that has been investigated for a wide range of different applications.
Rogério S. Gonçalves +2 more
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Classification of Activities of Daily Living Based on Grasp Dynamics Obtained from a Leap Motion Controller [PDF]
Sensors, 2022 Stroke is one of the leading causes of mortality and disability worldwide. Several evaluation methods have been used to assess the effects of stroke on the performance of activities of daily living (ADL). However, these methods are qualitative.
Hajar Sharif +3 more
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Feasibility and Performance Validation of a Leap Motion Controller for Upper Limb Rehabilitation
Robotics, 2021 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.
Marcus R. S. B. de Souza +2 more
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Dual Leap Motion Controller 2: A Robust Dataset for Multi-view Hand Pose Recognition [PDF]
Scientific DataThis paper presents Multi-view Leap2 Hand Pose Dataset (ML2HP Dataset), a new dataset for hand pose recognition, captured using a multi-view recording setup with two Leap Motion Controller 2 devices. This dataset encompasses a diverse range of hand poses,
Manuel Gil-Martín +3 more
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Dynamic Hand Gesture Recognition Based on a Leap Motion Controller and Two-Layer Bidirectional Recurrent Neural Network [PDF]
Sensors, 2020 Dynamic hand gesture recognition is one of the most significant tools for human–computer interaction. In order to improve the accuracy of the dynamic hand gesture recognition, in this paper, a two-layer Bidirectional Recurrent Neural Network for the ...
Linchu Yang, Ji’an Chen, Weihang Zhu
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Utilizing the Leap Motion Controller for skill tracking in surgical training: solving line-of-sight issues [PDF]
Surgery Open ScienceBackground: Minimally invasive surgery (MIS) requires mastery of complex skills, for which diverse training methods have been developed. While some methods focus on precise instrument tracking and others on realistic practice scenarios, combining these ...
V.E.E. Kleinrensink +4 more
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Evaluation of the Leap Motion Controller during the performance of visually-guided upper limb movements. [PDF]
PLoS ONE, 2018 Kinematic analysis of upper limb reaching provides insight into the central nervous system control of movements. Until recently, kinematic examination of motor control has been limited to studies conducted in traditional research laboratories because ...
Ewa Niechwiej-Szwedo +3 more
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Pengenalan Isyarat Tangan Menggunakan Leap Motion Controller untuk Pertunjukan Boneka Tangan Virtual [PDF]
Jurnal Teknik ITS, 2017 Leap Motion Controller memiliki keterbatasan dalam menangkap gerak isyarat tangan. Keterbatasan tersebut menyebabkan gerakan tangan model boneka virtual tidak seakurat gerakan tangan pelakon.
Iskandar Dzulkarnain +2 more
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Evaluation of Commercial Camera-Based Solutions for Tracking Hand Kinematics [PDF]
SensorsTracking hand kinematics is essential for numerous clinical and scientific applications. Markerless motion capture devices have advantages over other modalities in terms of calibration, set up, and overall ease of use; however, their accuracy during ...
Alexander H. Sprague +4 more
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