FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281557650> ?p ?o ?g. }

• W4281557650 endingPage "109097" @default.
• W4281557650 startingPage "109097" @default.
• W4281557650 abstract "Yoga is a traditional Indian exercise. It specifies various body postures called asanas, practicing them is beneficial for the physical, mental, and spiritual well-being. To support the yoga practitioners, there is a need of an expert yoga asanas recognition system that can automatically analyze practitioner’s postures and could provide suitable posture correction instructions. This paper proposes YogNet, a multi-person yoga expert system for 20 asanas using a two-stream deep spatiotemporal neural network architecture. The first stream utilizes a keypoint detection approach to detect the practitioner’s pose, followed by the formation of bounding boxes across the subject. The model then applies time distributed convolutional neural networks (CNNs) to extract frame-wise postural features, followed by regularized long short-term memory (LSTM) networks to give temporal predictions. The second stream utilizes 3D-CNNs for spatiotemporal feature extraction from RGB videos. Finally, the scores of two streams are fused using multiple fusion techniques. A yoga asana recognition database (YAR) containing 1206 videos is collected using a single 2D web camera for 367 min with the help of 16 participants and contains four view variations i.e. front, back, left, and right sides. The proposed system is novel as this is the earliest two-stream deep learning-based system that can perform multi-person yoga asanas recognition and correction in realtime. Simulation result reveals that YogNet system achieved 77.29%, 89.29%, and 96.31% accuracies using pose stream, RGB stream, and via fusion of both streams, respectively. These results are impressive and sufficiently high for recommendation towards general adaption of the system." @default.
• W4281557650 created "2022-05-27" @default.
• W4281557650 creator A5018354346 @default.
• W4281557650 creator A5040749287 @default.
• W4281557650 creator A5042400532 @default.
• W4281557650 creator A5058044915 @default.
• W4281557650 creator A5063338644 @default.
• W4281557650 creator A5074284580 @default.
• W4281557650 date "2022-08-01" @default.
• W4281557650 modified "2023-10-18" @default.
• W4281557650 title "YogNet: A two-stream network for realtime multiperson yoga action recognition and posture correction" @default.
• W4281557650 cites W1482797432 @default.
• W4281557650 cites W1522734439 @default.
• W4281557650 cites W1975366023 @default.
• W4281557650 cites W1983364832 @default.
• W4281557650 cites W1989184765 @default.
• W4281557650 cites W2016053056 @default.
• W4281557650 cites W2098339052 @default.
• W4281557650 cites W2106996050 @default.
• W4281557650 cites W2113325037 @default.
• W4281557650 cites W2158275940 @default.
• W4281557650 cites W2175012183 @default.
• W4281557650 cites W2194775991 @default.
• W4281557650 cites W2235034809 @default.
• W4281557650 cites W2549139847 @default.
• W4281557650 cites W2559085405 @default.
• W4281557650 cites W2736191430 @default.
• W4281557650 cites W2787514794 @default.
• W4281557650 cites W2790428293 @default.
• W4281557650 cites W2801889078 @default.
• W4281557650 cites W2921631037 @default.
• W4281557650 cites W2944588740 @default.
• W4281557650 cites W2944912183 @default.
• W4281557650 cites W2963150697 @default.
• W4281557650 cites W2963446712 @default.
• W4281557650 cites W2964304707 @default.
• W4281557650 cites W2989786669 @default.
• W4281557650 cites W3006114756 @default.
• W4281557650 cites W3035333188 @default.
• W4281557650 cites W3036562930 @default.
• W4281557650 cites W3048602385 @default.
• W4281557650 cites W3146918276 @default.
• W4281557650 cites W3154985639 @default.
• W4281557650 cites W3164569956 @default.
• W4281557650 cites W4240042586 @default.
• W4281557650 doi "https://doi.org/10.1016/j.knosys.2022.109097" @default.
• W4281557650 hasPublicationYear "2022" @default.
• W4281557650 type Work @default.
• W4281557650 citedByCount "8" @default.
• W4281557650 countsByYear W42815576502023 @default.
• W4281557650 crossrefType "journal-article" @default.
• W4281557650 hasAuthorship W4281557650A5018354346 @default.
• W4281557650 hasAuthorship W4281557650A5040749287 @default.
• W4281557650 hasAuthorship W4281557650A5042400532 @default.
• W4281557650 hasAuthorship W4281557650A5058044915 @default.
• W4281557650 hasAuthorship W4281557650A5063338644 @default.
• W4281557650 hasAuthorship W4281557650A5074284580 @default.
• W4281557650 hasBestOaLocation W42815576502 @default.
• W4281557650 hasConcept C121332964 @default.
• W4281557650 hasConcept C138885662 @default.
• W4281557650 hasConcept C153180895 @default.
• W4281557650 hasConcept C154945302 @default.
• W4281557650 hasConcept C2776401178 @default.
• W4281557650 hasConcept C2780791683 @default.
• W4281557650 hasConcept C31972630 @default.
• W4281557650 hasConcept C41008148 @default.
• W4281557650 hasConcept C41895202 @default.
• W4281557650 hasConcept C50644808 @default.
• W4281557650 hasConcept C62520636 @default.
• W4281557650 hasConcept C81363708 @default.
• W4281557650 hasConcept C82990744 @default.
• W4281557650 hasConceptScore W4281557650C121332964 @default.
• W4281557650 hasConceptScore W4281557650C138885662 @default.
• W4281557650 hasConceptScore W4281557650C153180895 @default.
• W4281557650 hasConceptScore W4281557650C154945302 @default.
• W4281557650 hasConceptScore W4281557650C2776401178 @default.
• W4281557650 hasConceptScore W4281557650C2780791683 @default.
• W4281557650 hasConceptScore W4281557650C31972630 @default.
• W4281557650 hasConceptScore W4281557650C41008148 @default.
• W4281557650 hasConceptScore W4281557650C41895202 @default.
• W4281557650 hasConceptScore W4281557650C50644808 @default.
• W4281557650 hasConceptScore W4281557650C62520636 @default.
• W4281557650 hasConceptScore W4281557650C81363708 @default.
• W4281557650 hasConceptScore W4281557650C82990744 @default.
• W4281557650 hasFunder F4320320721 @default.
• W4281557650 hasFunder F4320335278 @default.
• W4281557650 hasLocation W42815576501 @default.
• W4281557650 hasLocation W42815576502 @default.
• W4281557650 hasOpenAccess W4281557650 @default.
• W4281557650 hasPrimaryLocation W42815576501 @default.
• W4281557650 hasRelatedWork W2052518016 @default.
• W4281557650 hasRelatedWork W2081022503 @default.
• W4281557650 hasRelatedWork W2085956791 @default.
• W4281557650 hasRelatedWork W2283162247 @default.
• W4281557650 hasRelatedWork W2314488738 @default.
• W4281557650 hasRelatedWork W2524507886 @default.
• W4281557650 hasRelatedWork W2771653066 @default.
• W4281557650 hasRelatedWork W2774550181 @default.

• next