Improved CNN-Based Marker Labeling for Optical Hand Tracking

2020 ◽  
pp. 165-177
Author(s):  
Janis Rosskamp ◽  
Rene Weller ◽  
Thorsten Kluss ◽  
Jaime L. Maldonado C. ◽  
Gabriel Zachmann
Keyword(s):  
Hand Tracking

Real-time Hand Tracking using the RGB-D Camera

2017 ◽  
Vol 8 (2) ◽  
pp. 13-20 ◽  
Author(s):  
Seok-Han Lee ◽  
Keyword(s):  
Real Time ◽  
Hand Tracking

scholarly journals Data integration by two-sensors in a LEAP-based Virtual Glove for human-system interaction

2021 ◽  
Author(s):  
Giuseppe Placidi ◽  
Danilo Avola ◽  
Luigi Cinque ◽  
Matteo Polsinelli ◽  
Eleni Theodoridou ◽  
...  
Keyword(s):  
Data Integration ◽  
Real Time ◽  
Vision System ◽  
Hand Tracking ◽  
Selection Strategy ◽  
Motion Sensors ◽  
Leap Motion ◽  
Time Data ◽  
Lower Velocity ◽  
Human System

AbstractVirtual Glove (VG) is a low-cost computer vision system that utilizes two orthogonal LEAP motion sensors to provide detailed 4D hand tracking in real–time. VG can find many applications in the field of human-system interaction, such as remote control of machines or tele-rehabilitation. An innovative and efficient data-integration strategy, based on the velocity calculation, for selecting data from one of the LEAPs at each time, is proposed for VG. The position of each joint of the hand model, when obscured to a LEAP, is guessed and tends to flicker. Since VG uses two LEAP sensors, two spatial representations are available each moment for each joint: the method consists of the selection of the one with the lower velocity at each time instant. Choosing the smoother trajectory leads to VG stabilization and precision optimization, reduces occlusions (parts of the hand or handling objects obscuring other hand parts) and/or, when both sensors are seeing the same joint, reduces the number of outliers produced by hardware instabilities. The strategy is experimentally evaluated, in terms of reduction of outliers with respect to a previously used data selection strategy on VG, and results are reported and discussed. In the future, an objective test set has to be imagined, designed, and realized, also with the help of an external precise positioning equipment, to allow also quantitative and objective evaluation of the gain in precision and, maybe, of the intrinsic limitations of the proposed strategy. Moreover, advanced Artificial Intelligence-based (AI-based) real-time data integration strategies, specific for VG, will be designed and tested on the resulting dataset.

scholarly journals A SYSTEMATIC COLLECTION OF NATURAL INTERACTIONS FOR IMMERSIVE MODELING FROM BUILDING BLOCKS

2021 ◽  
Vol 1 ◽  
pp. 283-292
Author(s):  
Jakob Harlan ◽  
Benjamin Schleich ◽  
Sandro Wartzack
Keyword(s):  
User Interfaces ◽  
Building Blocks ◽  
Hand Tracking ◽  
Spatial Concepts ◽  
Natural User Interfaces ◽  
Modeling Systems ◽  
Block Based ◽  
Natural Interactions ◽  
Tracking Technology ◽  
Systematic Collection

AbstractThe increased availability of affordable virtual reality hardware in the last years boosted research and development of such systems for many fields of application. While extended reality systems are well established for visualization of product data, immersive authoring tools that can create and modify that data are yet to see widespread productive use. Making use of building blocks, we see the possibility that such tools allow quick expression of spatial concepts, even for non-expert users. Optical hand-tracking technology allows the implementation of this immersive modeling using natural user interfaces. Here the users manipulated the virtual objects with their bare hands. In this work, we present a systematic collection of natural interactions suited for immersive building-block-based modeling systems. The interactions are conceptually described and categorized by the task they fulfil.

scholarly journals Tomographic Proximity Imaging Using Conductive Sheet for Object Tracking

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2736
Author(s):  
Zehao Li ◽  
Shunsuke Yoshimoto ◽  
Akio Yamamoto
Keyword(s):  
Inverse Problem ◽  
Theoretical Model ◽  
Low Cost ◽  
Hand Tracking ◽  
Depth Camera ◽  
Capacitance Density ◽  
Evaluation Test ◽  
Density Problem ◽  
Imaging Sensor ◽  
Tomographic Approach

This paper proposes a proximity imaging sensor based on a tomographic approach with a low-cost conductive sheet. Particularly, by defining capacitance density, physical proximity information is transformed into electric potential. A novel theoretical model is developed to solve the capacitance density problem using the tomographic approach. Additionally, a prototype is built and tested based on the model, and the system solves an inverse problem for imaging the capacitance density change that indicates the object’s proximity change. In the evaluation test, the prototype reaches an error rate of 10.0–15.8% in horizontal localization at different heights. Finally, a hand-tracking demonstration is carried out, where a position difference of 33.8–46.7 mm between the proposed sensor and depth camera is achieved at 30 fps.

A Comparison of Expert Ratings and Marker-Less Hand Tracking Along OSATS-Derived Motion Scales

2020 ◽  
pp. 1-10
Author(s):  
David P. Azari ◽  
Brady L. Miller ◽  
Brian V. Le ◽  
Jacob A. Greenberg ◽  
Reginald C. Bruskewitz ◽  
...  
Keyword(s):  
Hand Tracking ◽  
Expert Ratings

MultiModal, Robust and Accurate Hand Tracking

2020 ◽  
Author(s):  
Tianyang Zhang ◽  
Hailun Xia ◽  
Changjian Zhang ◽  
Zhimin Zeng
Keyword(s):  
Hand Tracking

Delays in Manual Reaching Are Associated with Impaired Functional Abilities in Early Dementia Patients

2015 ◽  
Vol 40 (1-2) ◽  
pp. 63-71 ◽  
Author(s):  
Casper de Boer ◽  
Johan J.M. Pel ◽  
Johannes van der Steen ◽  
Francesco Mattace-Raso
Keyword(s):  
Daily Living ◽  
Hand Movement ◽  
Hand Tracking ◽  
Functional Abilities ◽  
Dementia Patients ◽  
Early Dementia ◽  
Tracking Devices ◽  
The Impact ◽  
Hand Response

Background/Aims: Recent evidence shows that early dementia patients have deficits in manual reaching tasks. It is important to understand the impact of these functional disabilities on their quality of life. The aim of this study was to investigate if there is an association between manual reaching and measures of (instrumental) activities of daily living (IADL) in a group of patients with cognitive complaints. Methods: The manual reaching performance of 27 patients was assessed in detail with eye and hand tracking devices. Patients were divided into three groups based on self-reported loss of IADL function. Parameters describing hand response and movement times were compared between groups. Results: Patients with loss of IADL function in ≥1 domain had delayed hand response and hand movement times towards visible targets compared to patients with no loss of IADL function. Conclusion: Delays in manual reaching movements are related to the degree of loss of IADL function in early dementia patients.

Enlarging the Usable Hand Tracking Area by Using Multiple Leap Motion Controllers in VR

2021 ◽  
pp. 1-1
Author(s):  
Yu Wang ◽  
Yuanjie Wu ◽  
Sungchul Jung ◽  
Simon Hoermann ◽  
Shouwen Yao ◽  
...  
Keyword(s):  
Hand Tracking ◽  
Leap Motion
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