Three-dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation

10.3791/62750 ◽  
2021 ◽  
Author(s):  
Liu-Liu Xu ◽  
Fan Wang ◽  
Hua-Yuan Yang ◽  
Wen-Chao Tang
Keyword(s):  
Kinematic Analysis ◽  
Motion Tracking ◽  
Three Dimensional ◽  
Finger Motion

Simulation Analysis of Pneumatic on-off Pressure Mechanism on Printing Press

2010 ◽  
Vol 154-155 ◽  
pp. 1481-1484 ◽  
Author(s):  
Jun Zhong Guo ◽  
Jun Ping Yang
Keyword(s):  
Kinematic Analysis ◽  
Simulation Analysis ◽  
Angular Displacement ◽  
Three Dimensional ◽  
Printing Press ◽  
Work Demand ◽  
Analysis Process ◽  
Adams Software ◽  
Important Basis

The on-off pressure mechanism has an important function to the printing press, the quality of which concerns the working performance of the printing machine and the quality of printed products directly. In this paper, the pneumatic on-off pressure mechanism is discussed; the work demand of order on-off pressure is analyzed. In addition, the three-dimensional digital model and the kinematic analysis process can be achieved on the basis of ADAMS software. What’s more, the on pressure value in the process of on pressure is derived from the kinematic analysis. Lastly, the relation between the motion of on-off pressure mechanism and cylinder’s angular displacement is analyzed, an important basis to the on-off pressure mechanism’s optimal design will be provided.

scholarly journals Multi-sensor three-dimensional Monte Carlo localization for long-term aerial robot navigation

2017 ◽  
Vol 14 (5) ◽  
pp. 172988141773275 ◽  
Author(s):  
Francisco J Perez-Grau ◽  
Fernando Caballero ◽  
Antidio Viguria ◽  
Anibal Ollero
Keyword(s):  
Monte Carlo ◽  
Motion Tracking ◽  
Robot Navigation ◽  
Tracking System ◽  
Three Dimensional ◽  
Measurement Unit ◽  
Indoor Environments ◽  
Localization Algorithm ◽  
Monte Carlo Localization ◽  
Motion Tracking System

This article presents an enhanced version of the Monte Carlo localization algorithm, commonly used for robot navigation in indoor environments, which is suitable for aerial robots moving in a three-dimentional environment and makes use of a combination of measurements from an Red,Green,Blue-Depth (RGB-D) sensor, distances to several radio-tags placed in the environment, and an inertial measurement unit. The approach is demonstrated with an unmanned aerial vehicle flying for 10 min indoors and validated with a very precise motion tracking system. The approach has been implemented using the robot operating system framework and works smoothly on a regular i7 computer, leaving plenty of computational capacity for other navigation tasks such as motion planning or control.

scholarly journals Three-dimensional knee kinematic analysis during treadmill gait

2017 ◽  
Vol 6 (8) ◽  
pp. 514-521 ◽  
Author(s):  
N. Mannering ◽  
T. Young ◽  
T. Spelman ◽  
P. F. Choong
Keyword(s):  
Kinematic Analysis ◽  
Three Dimensional ◽  
Knee Kinematic

scholarly journals Interacting with Maps in Virtual and Augmented Reality

2019 ◽  
Vol 1 ◽  
pp. 1-1
Author(s):  
Bernhard Jenny ◽  
Kadek Ananta Satriadi ◽  
Yalong Yang ◽  
Christopher R. Austin ◽  
Simond Lee ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Motion Tracking ◽  
Three Dimensional ◽  
Geospatial Data ◽  
Leap Motion ◽  
Flow Maps ◽  
Points Of Interest ◽  
Tracking Controllers ◽  
Game Engines ◽  
Virtual And Augmented Reality

<p><strong>Abstract.</strong> Augmented reality (AR) and virtual reality (VR) technology are increasingly used for the analysis and visualisation of geospatial data. It has become simple to create an immersive three-dimensional AR or VR map with a combination of game engines (e.g., Unity), software development kits for streaming and rendering geospatial data (e.g., Mapbox), and affordable hardware (e.g., HTC Vive). However, it is not clear how to best interact with geospatial visualisations in AR and VR. For example, there are no established standards to efficiently zoom and pan, select map features, or place markers on AR and VR maps. In this paper, we explore interaction with AR and VR maps using gestures and handheld controllers.</p><p>As for gesture-controlled interaction, we present the results of recent research projects exploring how body gestures can control basic AR and VR map operations. We use motion-tracking controllers (e.g., Leap Motion) to capture and interpret gestures. We conducted a set of user studies to identify, explore and compare various gestures for controlling map-related operations. This includes, for example, mid-air hand gestures for zooming and panning (Satriadi et al. 2019), selecting points of interest, adjusting the orientation of maps, or placing markers on maps. Additionally, we present novel VR interfaces and interaction methods for controlling the content of maps with gestures.</p><p>As for handheld controllers, we discuss interaction with exocentric globes, egocentric globes (where the user stands inside a large virtual globe), flat maps, and curved maps in VR. We demonstrate controller-based interaction for adjusting the centre of world maps displayed on these four types of projection surfaces (Yang et al. 2018), and illustrate the utility of interactively movable VR maps by the example of three-dimensional origin-destination flow maps (Yang et al. 2019).</p>

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