Selectivity, cycling stability and temperature dependence of touchless finger motion tracking devices based on 1D photonic crystals

2016 ◽  
Author(s):  
Katalin Szendrei ◽  
Pirmin Ganter ◽  
Bettina V. Lotsch
Keyword(s):  
Photonic Crystals ◽  
Temperature Dependence ◽  
Motion Tracking ◽  
Cycling Stability ◽  
Finger Motion ◽  
Tracking Devices

Properties of one Dimensional Photonic Crystals with Defects Thickness and Temperature Dependence

2015 ◽  
Vol 2 (3) ◽  
pp. 959-964
Author(s):  
N.R. Ramanujam ◽  
K.S. Joseph Wilson ◽  
V. Revathy ◽  
M. Maria Lenin ◽  
V. Bena Jothy
Keyword(s):  
Photonic Crystals ◽  
Temperature Dependence ◽  
One Dimensional

Touchless Optical Finger Motion Tracking Based on 2D Nanosheets with Giant Moisture Responsiveness

2015 ◽  
Vol 27 (41) ◽  
pp. 6341-6348 ◽  
Author(s):  
Katalin Szendrei ◽  
Pirmin Ganter ◽  
Olalla Sànchez-Sobrado ◽  
Roland Eger ◽  
Alexander Kuhn ◽  
...  
Keyword(s):  
Motion Tracking ◽  
Finger Motion ◽  
2D Nanosheets

scholarly journals The Reliability of the Microsoft Kinect and Ambulatory Sensor-Based Motion Tracking Devices to Measure Shoulder Range-of-Motion: A Systematic Review and Meta-Analysis

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8186
Author(s):  
Peter Beshara ◽  
David B. Anderson ◽  
Matthew Pelletier ◽  
William R. Walsh
Keyword(s):  
Range Of Motion ◽  
Motion Tracking ◽  
Human Motion ◽  
Microsoft Kinect ◽  
Smartphone Applications ◽  
Health Measurement ◽  
Rater Reliability ◽  
Shoulder Range Of Motion ◽  
Cosmin Checklist ◽  
Tracking Devices

Advancements in motion sensing technology can potentially allow clinicians to make more accurate range-of-motion (ROM) measurements and informed decisions regarding patient management. The aim of this study was to systematically review and appraise the literature on the reliability of the Kinect, inertial sensors, smartphone applications and digital inclinometers/goniometers to measure shoulder ROM. Eleven databases were screened (MEDLINE, EMBASE, EMCARE, CINAHL, SPORTSDiscus, Compendex, IEEE Xplore, Web of Science, Proquest Science and Technology, Scopus, and PubMed). The methodological quality of the studies was assessed using the consensus-based standards for the selection of health Measurement Instruments (COSMIN) checklist. Reliability assessment used intra-class correlation coefficients (ICCs) and the criteria from Swinkels et al. (2005). Thirty-two studies were included. A total of 24 studies scored “adequate” and 2 scored “very good” for the reliability standards. Only one study scored “very good” and just over half of the studies (18/32) scored “adequate” for the measurement error standards. Good intra-rater reliability (ICC > 0.85) and inter-rater reliability (ICC > 0.80) was demonstrated with the Kinect, smartphone applications and digital inclinometers. Overall, the Kinect and ambulatory sensor-based human motion tracking devices demonstrate moderate–good levels of intra- and inter-rater reliability to measure shoulder ROM. Future reliability studies should focus on improving study design with larger sample sizes and recommended time intervals between repeated measurements.

scholarly journals Towards Finger Motion Tracking and Analyses for Cardiac Surgery

2019 ◽  
pp. 1515-1525
Author(s):  
Mohammad Fattahi Sani ◽  
Sajeeva Abeywardena ◽  
Efi Psomopoulou ◽  
Raimondo Ascione ◽  
Sanja Dogramadzi
Keyword(s):  
Cardiac Surgery ◽  
Motion Tracking ◽  
Finger Motion

Carbonaceous photonic crystals as ultralong cycling anodes for lithium and sodium batteries

2015 ◽  
Vol 3 (26) ◽  
pp. 13786-13793 ◽  
Author(s):  
Weiming Lv ◽  
Jing Zhao ◽  
Fusheng Wen ◽  
Jianyong Xiang ◽  
Lei Li ◽  
...  
Keyword(s):  
Photonic Crystals ◽  
Anode Materials ◽  
Cycling Stability ◽  
Sodium Ion ◽  
Sodium Ion Batteries ◽  
Sodium Batteries ◽  
Butterfly Wings

Via carbonization of butterfly wings, carbonaceous photonic crystals (CPCs) were derived as anode materials for lithium and sodium ion batteries (LIB and NIB) with ultralong cycling stability.

scholarly journals Inertial Sensor Based Solution for Finger Motion Tracking

Computers ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 40
Author(s):  
Stepan Lemak ◽  
Viktor Chertopolokhov ◽  
Ivan Uvarov ◽  
Anna Kruchinina ◽  
Margarita Belousova ◽  
...  
Keyword(s):  
Motion Tracking ◽  
Inertial Sensor ◽  
Complete Information ◽  
Recognition Algorithm ◽  
Inertial Motion ◽  
Hand Motion ◽  
Virtual Reconstruction ◽  
Finger Tracking ◽  
Finger Motion ◽  
Finger Model

Hand motion tracking plays an important role in virtual reality systems for immersion and interaction purposes. This paper discusses the problem of finger tracking and proposes the application of the extension of the Madgwick filter and a simple switching (motion recognition) algorithm as a comparison. The proposed algorithms utilize the three-link finger model and provide complete information about the position and orientation of the metacarpus. The numerical experiment shows that this approach is feasible and overcomes some of the major limitations of inertial motion tracking. The paper’s proposed solution was created in order to track a user’s pointing and grasping movements during the interaction with the virtual reconstruction of the cultural heritage of historical cities.

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