Results 201 to 210 of about 8,960 (250)

Upper limb motor recovery using a digital health-driven IoT rehabilitation system: a case report. [PDF]

open access: yesFront Rehabil Sci
Sasaki S   +11 more
europepmc   +1 more source

From Offline to Inline Without Pain: A Practical Framework for Translating Offline MR Reconstructions to Inline Deployment Using the Gadgetron Platform. [PDF]

open access: yesMagn Reson Med
Ning Z   +26 more
europepmc   +1 more source

Virtual reality interactions via a user-generic ultrasound human-machine interface for wrist and hand tracking. [PDF]

open access: yesNat Commun
Grandi Sgambato B   +7 more
europepmc   +1 more source

Introduction to Leap Motion

2016
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.
exaly   +2 more sources

Validation of the Leap Motion Controller using markered motion capture technology

Journal of Biomechanics, 2016
The 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
exaly   +3 more sources

Leap Motion with Processing

2016
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.
exaly   +2 more sources

Setting Up Leap Motion

2016
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.
exaly   +2 more sources

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