Results 81 to 90 of about 409,279 (184)

Utilizing Motion Capture Systems for Instrumenting the OCRA Index: A Study on Risk Classification for Upper Limb Work-Related Activities

Sensors, 2023
In the search to enhance ergonomic risk assessments for upper limb work-related activities, this study introduced and validated the efficiency of an inertial motion capture system, paired with a specialized platform that digitalized the OCRA index ...
Pablo Aqueveque, Guisella Peña, Manuel Gutiérrez, Britam Gómez, Enrique Germany, Gustavo Retamal, Paulina Ortega-Bastidas   +6 more
doaj   +1 more source

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

, 2018
We present a compact but effective CNN model for optical flow, called PWC-Net. PWC-Net has been designed according to simple and well-established principles: pyramidal processing, warping, and the use of a cost volume. Cast in a learnable feature pyramid,
Kautz, Jan, Liu, Ming-Yu, Sun, Deqing, Yang, Xiaodong   +3 more
core   +1 more source

Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

, 2019
We address the problem of video representation learning without human-annotated labels. While previous efforts address the problem by designing novel self-supervised tasks using video data, the learned features are merely on a frame-by-frame basis, which
Bao, Linchao, He, Shengfeng, Jiao, Jianbo, Liu, Wei, Liu, Yunhui, Wang, Jiangliu   +5 more
core   +2 more sources

Textile‐Based Inductive Soft Strain Sensors for Fast Frequency Movement and Their Application in Wearable Devices Measuring Multiaxial Hip Joint Angles during Running

Advanced Intelligent Systems, 2020
Wearable multiaxes motion tracking with inductive sensors and machine learning is presented. The production, characterization, and use of a modular and size‐adjustable inductive sensor for kinematic motion tracking are introduced.
Mohammad Tavassolian, Tyler J. Cuthbert, Christopher Napier, JingYang Peng, Carlo Menon   +4 more
doaj   +1 more source

A Procedure for Automatically Estimating Model Parameters in Optical Motion Capture [PDF]

Procedings of the British Machine Vision Conference 2002, 2002
Abstract Model-based optical motion capture systems require knowledge of the position of the markers relative to the underlying skeleton, the lengths of the skeleton's limbs, and which limb each marker is attached to. These model parameters are typically assumed and entered into the system manually, although techniques exist for calculating some of ...
Maurice Ringer, Joan Lasenby
openaire   +1 more source

Going Deeper into First-Person Activity Recognition

, 2016
We bring together ideas from recent work on feature design for egocentric action recognition under one framework by exploring the use of deep convolutional neural networks (CNN).
Fan, Haoqi, Kitani, Kris M., Ma, Minghuang   +2 more
core   +1 more source

Optimized Motion Capture for Cricket Shot Classification Using Minimal Hardware and Machine Learning

IEEE Access
Motion capture technology has been used in many sports analytics, particularly for analyzing player movements in games like cricket. However, the high cost of commercial systems and the disturbing nature of wearable devices limit their accessibility and ...
J. Ishan Randika, Kanishka Rajamanthri, Avishka Kothalawala, Niroshan Gunawardana, Ashan Induranga, Pathum Weerakkody, Kaveendra Maduwantha, B. T. G. S. Kumara, Kaveenga Koswattage   +8 more
doaj   +1 more source

An evaluation method on seat comfort based on optical motion capture

Journal of Hebei University of Science and Technology, 2015
To research the sitting posture comfort evaluation method, through the example of comfort evaluation of the ergonomic seat and standard office seat, a methodology is introduced to evaluate the sitting posture comfort combining ergonomics theory.
Qing TAO, Wenlei SUN, Jinsheng KANG, Liang YUAN   +3 more
doaj   +1 more source

Memory-Augmented Temporal Dynamic Learning for Action Recognition

, 2019
Human actions captured in video sequences contain two crucial factors for action recognition, i.e., visual appearance and motion dynamics. To model these two aspects, Convolutional and Recurrent Neural Networks (CNNs and RNNs) are adopted in most ...
Wang, Dong, Wang, Qi, Yuan, Yuan
core   +1 more source

Evaluation of an optical motion capturing system

, 2016
Aquest projecte presenta la realització d’un laboratori de captura del moviment basat en el sistema òptic AS203 de Lukotronic. Els sistemes de captura de moviment són cada cop més utilitzats en indústries, com la de l’animació i els videojocs, i així com en diferents àrees de recerca com per exemple la medicina o la robòtica.
openaire   +2 more sources