Motion Recognition Algorithm Based on Deep Edge-Aware Pyramid Pooling Network in Human–Computer Interaction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2952432
Abstract: Action recognition is an important research direction in computer vision, which has worldwide applications, such as video surveillance, human-robot interaction and so on. Due to the influence of complex background and multi-angle changes, accurate recognition… read more here.
Keywords: pyramid pooling; edge aware; computer; motion recognition ... See more keywords
Robust Foot Motion Recognition Using Stride Detection and Weak Supervision-Based Fast Labeling
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2021.3075151
Abstract: Foot motion recognition in daily life faces two challenges imposed by traditional machine learning frameworks: how to robustly recognize various foot motions from continuous movements in uncontrolled environments, and how to accurately extract ground truths.… read more here.
Keywords: foot motions; stride detection; foot; weak supervision ... See more keywords
A Projection-Based Human Motion Recognition Algorithm Based on Depth Sensors
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2021.3079983
Abstract: Exercise monitoring systems for rehabilitation are usually not able to pinpoint the exact part for patients’ exercise. The research objective is to develop the projection-based motion recognition (PMR) algorithm based on depth data and wide-accepted… read more here.
Keywords: trajectory; algorithm; projection based; motion recognition ... See more keywords
Through-Wall Human Motion Recognition Based on Transfer Learning and Ensemble Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3070374
Abstract: Human motion recognition based on ultra-wideband through-the-wall radar (UWB TWR) (a radar whose fractional bandwidth of the radar transmitted signal is bigger than 0.25) is faced with the problems of too few samples and the… read more here.
Keywords: recognition; motion recognition; based transfer; model ... See more keywords
Human Motion Recognition Using Doppler Radar Based on Semi-Supervised Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3173951
Abstract: Fully supervised deep learning has achieved great success in many fields, but its performance is often hindered by the abundance and quantity of available labeled training data. In the field of radar-based human motion recognition… read more here.
Keywords: based semi; motion recognition; radar based; radar ... See more keywords
Forearm Motion Recognition With Noncontact Capacitive Sensing
Sign Up to like & getrecommendations! Published in 2018 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2018.00047
Abstract: This study presents a noncontact capacitive sensing method for forearm motion recognition. A method is proposed to record upper limb motion information from muscle contractions without contact with human skin, compensating for the limitations of… read more here.
Keywords: motion; motion recognition; noncontact capacitive; forearm motion ... See more keywords
A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.48550/arxiv.2211.09146
Abstract: Motion recognition is a promising direction in computer vision, but the training of video classification models is much harder than images due to insufficient data and considerable parameters. To get around this, some works strive… read more here.
Keywords: unified multimodal; rgb; motion recognition; motion ... See more keywords