Results 51 to 60 of about 930,742 (332)
Human Motion Enhancement and Restoration via Unconstrained Human Structure Learning
SensorsHuman motion capture technology, which leverages sensors to track the movement trajectories of key skeleton points, has been progressively transitioning from industrial applications to broader civilian applications in recent years. It finds extensive use
Tianjia He +2 more
doaj +1 more source
CARRT—Motion Capture Data for Robotic Human Upper Body Model
Sensors, 2023 In recent years, researchers have focused on analyzing humans’ daily living activities to study various performance metrics that humans subconsciously optimize while performing a particular task.
Urvish Trivedi +2 more
doaj +1 more source
Deep representation learning for human motion prediction and classification
, 2017 Generative models of 3D human motion are often restricted to a small number of activities and can therefore not generalize well to novel movements or applications.
Black, Michael +3 more
core +1 more source
VIBE: Video Inference for Human Body Pose and Shape Estimation
, 2020 Human motion is fundamental to understanding behavior. Despite progress on single-image 3D pose and shape estimation, existing video-based state-of-the-art methods fail to produce accurate and natural motion sequences due to a lack of ground-truth 3D ...
Athanasiou, Nikos +2 more
core +1 more source
Zoom in to the details of human-centric videos
, 2020 Presenting high-resolution (HR) human appearance is always critical for the human-centric videos. However, current imagery equipment can hardly capture HR details all the time.
Fang, Lu +4 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.
Batchelor, John C. +3 more
core +1 more source
Accuracy of human motion capture systems for sport applications; state-of-the-art review
European Journal of Sport Science, 2018 Objective: Sport research often requires human motion capture of an athlete. It can, however, be labour-intensive and difficult to select the right system, while manufacturers report on specifications which are determined in set-ups that largely differ ...
Eline van der Kruk, M. M. Reijne
semanticscholar +1 more source
Scenario-Based Sensed Human Motion Editing and Validation Through the Motion-Sphere
IEEE Access, 2022 Synthesizing realistic human motion data using a real-time motion capture system in a controlled environment is a critical challenge. In addition, effectively manipulating the existing motion data is another primary concern and using such modified data ...
Bharatesh Chakravarthi +4 more
doaj +1 more source
On least-cost path for realistic simulation of human motion [PDF]
, 2011 We are interested in "human-like" automatic motion simulation with applications in ergonomics. The apparent redundancy of the humanoid wrt its explicit tasks leads to the problem of choosing a plausible movement in the framework of redundant kinematics.
Chiron, Pascale +2 more
core
Discovery and recognition of motion primitives in human activities [PDF]
, 2019 We present a novel framework for the automatic discovery and recognition of motion primitives in videos of human activities. Given the 3D pose of a human in a video, human motion primitives are discovered by optimizing the `motion flux', a quantity which
Ntouskos, Valsamis +2 more
core +3 more sources