Results 11 to 20 of about 3,662,643 (303)

Wearable IMMU-Based Relative Position Estimation between Body Segments via Time-Varying Segment-to-Joint Vectors

Sensors, 2022
In biomechanics, estimating the relative position between two body segments using inertial and magnetic measurement units (IMMUs) is important in that it enables the capture of human motion in unconstrained environments.
Chang June Lee, Jung Keun Lee
doaj   +1 more source

Effects of Data Augmentation on the Nine-Axis IMU-Based Orientation Estimation Accuracy of a Recurrent Neural Network

Sensors, 2023
The nine-axis inertial and measurement unit (IMU)-based three-dimensional (3D) orientation estimation is a fundamental part of inertial motion capture.
Ji Seok Choi, Jung Keun Lee
doaj   +1 more source

CLET: Computation of Latencies in Event-related potential Triggers using photodiode on virtual reality apparatuses

Frontiers in Human Neuroscience, 2023
To investigate event-related activity in human brain dynamics as measured with EEG, triggers must be incorporated to indicate the onset of events in the experimental protocol.
Piyush Swami, Piyush Swami, Piyush Swami, Klaus Gramann, Elise Klæbo Vonstad, Beatrix Vereijken, Alexander Holt, Tomas Holt, Grethe Sandstrak, Jan Harald Nilsen, Xiaomeng Su   +10 more
doaj   +1 more source

Treadmill-to-Overground Mapping of Marker Trajectory for Treadmill-Based Continuous Gait Analysis

Sensors, 2021
A treadmill was used to perform continuous walking tests in a limited space that can be covered by marker-based optical motion capture systems. Most treadmill-based gait data are analyzed based on gait cycle percentage.
Woo Chang Jung, Jung Keun Lee
doaj   +1 more source

AMASS: Archive of Motion Capture As Surface Shapes [PDF]

IEEE International Conference on Computer Vision, 2019
Large datasets are the cornerstone of recent advances in computer vision using deep learning. In contrast, existing human motion capture (mocap) datasets are small and the motions limited, hampering progress on learning models of human motion.
Naureen Mahmood, N. Ghorbani, N. Troje, Gerard Pons-Moll, Michael J. Black   +4 more
semanticscholar   +1 more source

Applications and limitations of current markerless motion capture methods for clinical gait biomechanics

PeerJ, 2022
Background Markerless motion capture has the potential to perform movement analysis with reduced data collection and processing time compared to marker-based methods.
Logan Wade, L. Needham, Polly M. McGuigan, J. Bilzon   +3 more
semanticscholar   +1 more source

A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation

Journal of NeuroEngineering and Rehabilitation, 2023
Background Markerless motion capture (MMC) technology has been developed to avoid the need for body marker placement during motion tracking and analysis of human movement.
Winnie W. T. Lam, Yukming Tang, K. Fong
semanticscholar   +1 more source

Auditory Motion Capturing Ambiguous Visual Motion [PDF]

Frontiers in Psychology, 2012
In this study, it is demonstrated that moving sounds have an effect on the direction in which one sees visual stimuli move. During the main experiment sounds were presented consecutively at four speaker locations inducing left or rightward auditory apparent motion.
Arjen eAlink, Arjen eAlink, Arjen eAlink, Felix eEuler, Felix eEuler, Elena eGaleano, Alexandra eKrugliak, Alexandra eKrugliak, Wolf eSinger, Wolf eSinger, Wolf eSinger, Wolf eSinger, Axel eKohler, Axel eKohler, Axel eKohler   +14 more
openaire   +6 more sources

Evaluating 3D Human Motion Capture on Mobile Devices

Applied Sciences, 2022
Computer-vision-based frameworks enable markerless human motion capture on consumer-grade devices in real-time. They open up new possibilities for application, such as in the health and medical sector.
Lara Marie Reimer, Maximilian Kapsecker, Takashi Fukushima, Stephan M. Jonas   +3 more
doaj   +1 more source

Wearable Triboelectric Sensors Enabled Gait Analysis and Waist Motion Capture for IoT‐Based Smart Healthcare Applications

Advancement of science, 2021
Gait and waist motions always contain massive personnel information and it is feasible to extract these data via wearable electronics for identification and healthcare based on the Internet of Things (IoT).
Quan Zhang, Tao Jin, Jianguo Cai, Liangchao Xu, Tianyiyi He, Tianhong Wang, Yingzhong Tian, Long Li, Yan Peng, Chengkuo Lee   +9 more
semanticscholar   +1 more source