Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385625156> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W4385625156 abstract "Workouts or Exercises are some repetitive physical activities essential for maintaining good health. Workouts make us relax and happy, give us more energy, lower the risk of chronic disease, and rejuvenate our bodies and minds. Proper technique and posture are essential to get the most out of any workout; the same workout may lead to injury if performed incorrectly. This paper presents a method to identify a person’s workout action from realistic still images. In contrast to video-based action recognition, the challenge is more difficult for still photographs because the Spatio-temporal information is not present in images. This study proposes a deep learning-based model named WorkoutNet to recognize workout actions. The method achieved remarkable results on the Workout Action Image dataset, consisting of 2796 images prepared by us and on the publicly available Exercise image dataset. The suggested approach predicts different workout actions and classifies them into ten categories with high accuracy. The proposed WorkoutNet model attains 92.75% validation accuracy in classifying the workout action images, succeeded by the XceptionNet, VGG-19, DenseNet121, InceptionV3, MobileNet and VGG-16. Further, the classification performance has been evaluated using the F1-Measure and Confusion Matrix. The suggested model can be utilized in real-life to identify workout action images and assist humans doing workouts without a trainer or guide in understanding the right way." @default.
- W4385625156 created "2023-08-08" @default.
- W4385625156 creator A5006106217 @default.
- W4385625156 creator A5047754151 @default.
- W4385625156 creator A5087937671 @default.
- W4385625156 date "2023-06-23" @default.
- W4385625156 modified "2023-09-23" @default.
- W4385625156 title "WorkoutNet: A Deep Learning Model for the Recognition of Workout Actions from Still Images" @default.
- W4385625156 cites W2014788385 @default.
- W4385625156 cites W2052798461 @default.
- W4385625156 cites W2109875425 @default.
- W4385625156 cites W2805029945 @default.
- W4385625156 cites W2872644965 @default.
- W4385625156 cites W2901506610 @default.
- W4385625156 cites W2979994277 @default.
- W4385625156 cites W3016840980 @default.
- W4385625156 cites W3049411219 @default.
- W4385625156 cites W3109968105 @default.
- W4385625156 cites W3131772491 @default.
- W4385625156 cites W3134644163 @default.
- W4385625156 cites W3151166291 @default.
- W4385625156 cites W3195560328 @default.
- W4385625156 doi "https://doi.org/10.1109/conit59222.2023.10205926" @default.
- W4385625156 hasPublicationYear "2023" @default.
- W4385625156 type Work @default.
- W4385625156 citedByCount "0" @default.
- W4385625156 crossrefType "proceedings-article" @default.
- W4385625156 hasAuthorship W4385625156A5006106217 @default.
- W4385625156 hasAuthorship W4385625156A5047754151 @default.
- W4385625156 hasAuthorship W4385625156A5087937671 @default.
- W4385625156 hasConcept C11171543 @default.
- W4385625156 hasConcept C119857082 @default.
- W4385625156 hasConcept C121332964 @default.
- W4385625156 hasConcept C138602881 @default.
- W4385625156 hasConcept C154945302 @default.
- W4385625156 hasConcept C15744967 @default.
- W4385625156 hasConcept C199360897 @default.
- W4385625156 hasConcept C2776502983 @default.
- W4385625156 hasConcept C2777212361 @default.
- W4385625156 hasConcept C2780463512 @default.
- W4385625156 hasConcept C2780791683 @default.
- W4385625156 hasConcept C2781140086 @default.
- W4385625156 hasConcept C2987834672 @default.
- W4385625156 hasConcept C31972630 @default.
- W4385625156 hasConcept C41008148 @default.
- W4385625156 hasConcept C62520636 @default.
- W4385625156 hasConceptScore W4385625156C11171543 @default.
- W4385625156 hasConceptScore W4385625156C119857082 @default.
- W4385625156 hasConceptScore W4385625156C121332964 @default.
- W4385625156 hasConceptScore W4385625156C138602881 @default.
- W4385625156 hasConceptScore W4385625156C154945302 @default.
- W4385625156 hasConceptScore W4385625156C15744967 @default.
- W4385625156 hasConceptScore W4385625156C199360897 @default.
- W4385625156 hasConceptScore W4385625156C2776502983 @default.
- W4385625156 hasConceptScore W4385625156C2777212361 @default.
- W4385625156 hasConceptScore W4385625156C2780463512 @default.
- W4385625156 hasConceptScore W4385625156C2780791683 @default.
- W4385625156 hasConceptScore W4385625156C2781140086 @default.
- W4385625156 hasConceptScore W4385625156C2987834672 @default.
- W4385625156 hasConceptScore W4385625156C31972630 @default.
- W4385625156 hasConceptScore W4385625156C41008148 @default.
- W4385625156 hasConceptScore W4385625156C62520636 @default.
- W4385625156 hasLocation W43856251561 @default.
- W4385625156 hasOpenAccess W4385625156 @default.
- W4385625156 hasPrimaryLocation W43856251561 @default.
- W4385625156 hasRelatedWork W1987421842 @default.
- W4385625156 hasRelatedWork W2005801879 @default.
- W4385625156 hasRelatedWork W3011378683 @default.
- W4385625156 hasRelatedWork W3102912986 @default.
- W4385625156 hasRelatedWork W4231994957 @default.
- W4385625156 hasRelatedWork W4281386417 @default.
- W4385625156 hasRelatedWork W4281645081 @default.
- W4385625156 hasRelatedWork W4293525103 @default.
- W4385625156 hasRelatedWork W4361795583 @default.
- W4385625156 hasRelatedWork W4366202965 @default.
- W4385625156 isParatext "false" @default.
- W4385625156 isRetracted "false" @default.
- W4385625156 workType "article" @default.