Results 31 to 40 of about 2,307,982 (285)

Interaction of perceptual grouping and crossmodal temporal capture in tactile apparent-motion [PDF]

, 2011
Previous studies have shown that in tasks requiring participants to report the direction of apparent motion, task-irrelevant mono-beeps can "capture'' visual motion perception when the beeps occur temporally close to the visual stimuli. However, the
Hermann J. Müller, Hermann J Müller, Chen Lihan, Mueller, Hermann J., Chen, Lihan, Chen, L.H., Müller Hermann J., Muller, Hermann J., Shi, Z.H., Shi, Zhuanghua, Lihan Chen, Shi Zhuanghua, Zhuanghua Shi   +12 more
core   +1 more source

Comparison of 3D scanned human models for off-body communications using motion capture [PDF]

, 2012
Body area networks are complex to analyze as there are several channel mechanisms occurring simultaneously, i.e. environmental multipath together with body motion and close coupling between worn antennas and human tissue.
J. C. Batchelor, S. Swaisaenyakorn, Young, Paul R., Batchelor, John C., P. R. Young, Swaisaenyakorn, Srijittra, S. W. Kelly, Kelly, Stephen W.   +7 more
core   +1 more source

Research on Skeleton Data Compensation of Gymnastics based on Dynamic and Static Two-dimensional Regression using Kinect

Measurement Science Review, 2022
The intelligent training and assessment of gymnastics movements require studying motion trajectory and reconstructing the character animation. Microsoft Kinect has been widely used due to its advantages of low price and high frame rate.
Zhao Gang, Zan Hui, Chen Junhong
doaj   +1 more source

Markerless Motion Capture via Convolutional Neural Network [PDF]

, 2022
openA human motion capture system can be defined as a process that digitally records the movements of a person and then translates them into computer-animated images.
MONACO, NICCOLÒ
core  

A semantic feature for human motion retrieval [PDF]

, 2013
With the explosive growth of motion capture data, it becomes very imperative in animation production to have an efficient search engine to retrieve motions from large motion repository.
Zhuang, Yueting, Qi, T., Jianjun Zhang, Tian Qi, Zhang, Jian J., Feng, Yinfu, Yinfu Feng, Xiaosong Yang, Xiao, J., Yueting Zhuang, Yang, Xiaosong, Jun Xiao   +11 more
core   +1 more source

Open-Ended Measurement of Whole-Body Movement: A Feasibility Study [PDF]

Tutorials in Quantitative Methods for Psychology, 2018
As the importance of embodiment emerges for psychology, there is a need to advance methodology for measuring the dynamics of movement in an open-ended fashion.
Finn, Michael T. M., Smith, Connor L., Nash, Michael R.   +2 more
doaj   +1 more source

Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari, Regina Hadi Putri, Fatimah Assyifa, Judith Spijkerman, Gertjan Johannes Kaspers, Susi Susanah   +5 more
wiley   +1 more source

A method for synchronized use of EEG and eye tracking in fully immersive VR

Frontiers in Human Neuroscience
This study explores the synchronization of multimodal physiological data streams, in particular, the integration of electroencephalography (EEG) with a virtual reality (VR) headset featuring eye-tracking capabilities.
Olav F. P. Larsen, William G. Tresselt, Emanuel A. Lorenz, Tomas Holt, Grethe Sandstrak, Tor I. Hansen, Tor I. Hansen, Xiaomeng Su, Alexander Holt   +8 more
doaj   +1 more source

A wearable motion capture device able to detect dynamic motion of human limbs

Nature Communications, 2020
Current wearable motion capture technologies are unable to accurately detect dynamic motion of human limbs due to drift and instability problems. Here, the authors report a wearable motion capture device combining tri-axis velocity sensor and inertial ...
Shiqiang Liu, Junchang Zhang, Yuzhong Zhang, Rong Zhu   +3 more
doaj   +1 more source

Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training

Sensors, 2020
Using standard digital cameras in combination with deep learning (DL) for pose estimation is promising for the in-home and independent use of exercise games (exergames).
Elise Klæbo Vonstad, Xiaomeng Su, Beatrix Vereijken, Kerstin Bach, Jan Harald Nilsen   +4 more
doaj   +1 more source