Results 91 to 100 of about 5,171 (172)

Integrating OpenPose and SVM for Quantitative Postural Analysis in Young Adults: A Temporal-Spatial Approach

Bioengineering
Noninvasive tracking devices are widely used to monitor real-time posture. Yet significant potential exists to enhance postural control quantification through walking videos.
Posen Lee, Tai-Been Chen, Hung-Yu Lin, Li-Ren Yeh, Chin-Hsuan Liu, Yen-Lin Chen   +5 more
doaj   +1 more source

Student Behavior Recognition in Classroom Based on Deep Learning

Applied Sciences
With the widespread application of information technology in education, the real-time detection of student behavior in the classroom has become a key issue in improving teaching quality.
Qingzheng Jia, Jialiang He
doaj   +1 more source

Tex2Shape: Detailed Full Human Body Geometry From a Single Image

, 2019
We present a simple yet effective method to infer detailed full human body shape from only a single photograph. Our model can infer full-body shape including face, hair, and clothing including wrinkles at interactive frame-rates.
Alldieck, T., Magnor, M., Pons-Moll, G., Theobalt, C.   +3 more
core  

Quantifying normal and parkinsonian gait features from home movies: Practical application of a deep learning-based 2D pose estimator.

PLoS ONE, 2019
OBJECTIVE:Gait movies recorded in daily clinical practice are usually not filmed with specific devices, which prevents neurologists benefitting from leveraging gait analysis technologies.
Kenichiro Sato, Yu Nagashima, Tatsuo Mano, Atsushi Iwata, Tatsushi Toda   +4 more
doaj   +1 more source

OpenPose

The Journal of The Institute of Image Information and Television Engineers, 2019
Kentaro Inada, Ryohei Osawa, Atsuya Yamakawa   +2 more
openaire   +1 more source

Advances in Federated Learning: Combining Local Preprocessing With Adaptive Uncertainty Symmetry to Reduce Irrelevant Features and Address Imbalanced Data

IEEE Access
Federated learning is increasingly being considered for sensor-driven human activity recognition, offering advantages in terms of privacy and scalability compared to centralized methods. However, challenges such as feature selection and client imbalanced
Zahraa Khduair Taha, Johnny Koh Siaw Paw, Yaw Chong Tak, Tiong Sieh Kiong, Kumaran Kadirgama, Foo Benedict, Tan Jian Ding, Kharudin Ali, Azher M. Abed   +8 more
doaj   +1 more source

OpenPose based Gait Recognition using Triplet Loss Architecture

, 2020
Behavioural biometrics have certain advantages over physiological biometrics. These biometrics does not require cooperative subject or proximity of individual. Gait recognition is form of behavioural biometrics where individual is identified based on their walking pattern.
openaire   +1 more source

duet: An R package for dyadic analysis of motion data generated by OpenPose. [PDF]

Behav Res Methods
Efthimiou TN, Crompton CJ.
europepmc   +1 more source

Reliability and validity of OpenPose for measuring HKA angle in dynamic walking videos in patients with knee osteoarthritis. [PDF]

Sci Rep
Ge F, Wu C, Ge F, Xu S, Xiao J.
europepmc   +1 more source

Markerless Motion Analysis Using New Digital Technology. [PDF]

Phys Ther Res
Ota M.
europepmc   +1 more source