Upper limb motor recovery using a digital health-driven IoT rehabilitation system: a case report. [PDF]
Sasaki S +11 more
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From Offline to Inline Without Pain: A Practical Framework for Translating Offline MR Reconstructions to Inline Deployment Using the Gadgetron Platform. [PDF]
Ning Z +26 more
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The expanding role of widefield imaging in clinical practice. [PDF]
Ratra D.
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Virtual reality interactions via a user-generic ultrasound human-machine interface for wrist and hand tracking. [PDF]
Grandi Sgambato B +7 more
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Suggestive Association Between Tryptophan-indole Metabolic Pathway and Total Joint Arthroplasty Early Revision for Heterogeneous Failure Modes in Patients With Primary Osteoarthritis: A Meta-analysis of Metabolomics. [PDF]
Liu M +10 more
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Real-time biofeedback monitoring rehabilitation of distal radius fracture. [PDF]
Li L, Liu X, Zhang L.
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In this chapter we will cover the basics of Leap Motion and introduce the device. Then we will discuss why it is useful, and introduce the different gestures supported in Leap Motion. Finally, we’ll note the variants of Leap Motion covered.
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Validation of the Leap Motion Controller using markered motion capture technology
Journal of Biomechanics, 2016The Leap Motion Controller (LMC) is a low-cost, markerless motion capture device that tracks hand, wrist and forearm position. Integration of this technology into healthcare applications has begun to occur rapidly, making validation of the LMC׳s data output an important research goal.
David Putrino
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In the previous chapter we discussed the integration of the Unity game platform with Leap Motion. In this chapter we will briefly introduce the Processing language and then integrate the Processing library for Leap Motion to create a sample application.
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In the previous chapter we introduced you to some basics of the Leap Motion sensor and the different hardware updates to it. In this chapter we will go through the details of setting up the Leap Motion for Windows SDK, starting with where to get the SDK.
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