Hand Motion Capture from a 3D Leap Motion Controller for a Musculoskeletal Dynamic Simulation. [PDF]
Sensors (Basel), 2021 The AnyBody Modeling System™ (AMS) is a musculoskeletal software simulation solution using inverse dynamics analysis. It enables the determination of muscle and joint forces for a given bodily motion.
Fonk R +3 more
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Analysis of the accuracy and robustness of the leap motion controller. [PDF]
Sensors (Basel), 2013 The Leap Motion Controller is a new device for hand gesture controlled user interfaces with declared sub-millimeter accuracy. However, up to this point its capabilities in real environments have not been analyzed.
Weichert F +3 more
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Suitability of the Kinect Sensor and Leap Motion Controller-A Literature Review. [PDF]
Sensors (Basel), 2019 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.
Guzsvinecz T, Szucs V, Sik-Lanyi C.
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American Sign Language Recognition Using Leap Motion Controller with Machine Learning Approach. [PDF]
Sensors (Basel), 2018 Sign language is intentionally designed to allow deaf and dumb communities to convey messages and to connect with society. Unfortunately, learning and practicing sign language is not common among society; hence, this study developed a sign language ...
Chong TW, Lee BG.
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Motion analysis of suturing technique with Leap Motion ControllerTM. Proof-of-concept. [PDF]
Sci Prog, 2022 Purpose Leap Motion Controller is a device that can capture hand gestures and reproduce these as data comprising several parametric elements. We analyzed surgical suture motion using this device and investigated the optical methodology for clinical ...
Tsuyuki S +6 more
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Comparison of the Performance of the Leap Motion ControllerTM with a Standard Marker-Based Motion Capture System. [PDF]
Sensors (Basel), 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.
Ganguly A, Rashidi G, Mombaur K.
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Evaluation of the leap motion controller as a new contact-free pointing device. [PDF]
Sensors (Basel), 2014 This paper presents a Fitts’ law-based analysis of the user’s performance in selection tasks with the Leap Motion Controller compared with a standard mouse device.
Bachmann D, Weichert F, Rinkenauer G.
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Classification of Activities of Daily Living Based on Grasp Dynamics Obtained from a Leap Motion Controller. [PDF]
Sensors (Basel), 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.
Sharif H +3 more
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Comparative Analysis of the Accuracy and Robustness of the Leap Motion Controller 2. [PDF]
Sensors (Basel)Along with the ongoing success of virtual/augmented reality (VR/AR) and human–machine interaction (HMI) in the professional and consumer markets, new compatible and inexpensive hand tracking devices are required.
Matuszczyk D +3 more
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Objective and automatic classification of Parkinson disease with Leap Motion controller. [PDF]
Biomed Eng Online, 2018 Background The main objective of this paper is to develop and test the ability of the Leap Motion controller (LMC) to assess the motor dysfunction in patients with Parkinson disease (PwPD) based on the MDS-UPDRSIII exercises.
Butt AH +6 more
europepmc +2 more sources