Yoga Pose Detection for Human Rehabilitation Using Deep Leaning DOI Open Access

Prof. Moumita Dey

International Journal for Research in Applied Science and Engineering Technology, Journal Year: 2023, Volume and Issue: 11(12), P. 231 - 235

Published: Dec. 5, 2023

Abstract: Yoga is an ancient science and discipline originated in India 5000 years ago. It used to bring harmony both body mind with the help of asana, meditation various other breathing techniques peace mind. Due increase stress modern lifestyle, yoga has become popular throughout world. There are ways through which one can learn yoga. be learnt by attending classes at a centre or home tutoring. also self-learnt books videos. Most people prefer self-learning but it hard for them find incorrect parts their poses themselves. idea behind this pose detection project using deep learning neural network that popularity increasing day because its benefits. Doing helps us physically, mentally as well spiritually. Because many nowadays doing regularly. The main recognize they technique. involves 8 rungs limbs it, includes Yama, Niyama, Asana, Pranayama, Dharana, Dhyana Samadhi. To easily understand performing via images, video recording classifying we implementing will incline towards more get identify very easily.

Language: Английский

Object classification and visualization with edge artificial intelligence for a customized camera trap platform DOI Creative Commons
Sajid Nazir, Mohammad Kaleem

Ecological Informatics, Journal Year: 2024, Volume and Issue: 79, P. 102453 - 102453

Published: Jan. 2, 2024

The camera traps have revolutionized the image and video capture in ecology are often used to monitor record animal presence. With miniaturization of low power electronic devices, better battery technologies, software advancements, it has become possible use edge such as Raspberry Pi that can not only images videos, but also enable sophisticated processing, off-site communications. These developments help provide near real-time insights reduce manual processing images. on-board classification visualization is facilitated by advancements Deep Neural Networks (DNN), transfer learning approaches, libraries. This paper provides an investigation with approaches using pre-trained DNN models, visualizations Explainable Artificial Intelligence (XAI) techniques on Zero (RPi-Z) device. MobileNetV2 model was for Florida-Part1 dataset obtaining results precision, recall, F1-score 0.95, 0.96, 0.95 respectively. We compared performance MobileNetV2, EfficientNetV2B0, MobileViT models Extinction best 0.97, 0.96 respectively, obtained EfficientNetV2B0 model. Two XAI techniques, Gradient-weighted-Class Activation Mapping (Grad-CAM) Occlusion Sensitivity were through heatmaps, highlight relative importance areas contributing model's prediction, understand bias. practical case scenarios utilizing optimization deployment ecological research.

Language: Английский

Citations

7
Suivis de biodiversité par la reconnaissance automatique des espèces sur photographies : perspectives et défis DOI Open Access

H. Le Borgne,

Christophe Bouget

Naturae, Journal Year: 2023, Volume and Issue: 6

Published: June 21, 2023

La reconnaissance d’espèces basée sur des données d’images analysées par l’intelligence artificielle est de plus en populaire dans les suivis biodiversité, pour faire face aux limites méthodes traditionnelles et à l’émergence considérations déontologiques préconisant le développement pièges non destructifs (i.e. létaux, « no kill »). Cette augmentation l’utilisation nouvelles technologies peut largement s’expliquer un besoin gain temps précision. Ce type méthodologie particulièrement intéressant personnes qui n’ont pas l’expertise nécessaire distinguer nombreuses espèces telles que Insectes. De plus, photographiques sont moins susceptibles créer biais observateur l’observation directe, car elles réutilisables vérifiables. Dans ce document nous allons voir comment peuvent être acquises milieu terrestre méthodologies outils capture) la manière dont images ensuite traitées classification gestion analyses). En particulier, avons considéré possibilité d’automatiser grands volumes collectées l’aide techniques d’apprentissage automatique profond afin réaliser l’identification espèces. étude présente également avantages ces contexte suivi biodiversité terrestre.

Citations

3
Animals and Land Cover/Land Use Change: A Remote Sensing—Galapagos Islands Assessment DOI
Stephen J. Walsh, Francisco Laso, Madeline M. Giefer

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

Citations

0
Simbiose entre inteligência artificial e câmeras em avaliações educacionais DOI Creative Commons
Roberto Ribeiro Faria, G. Gomes, Odonı́rio Abrahão

et al.

Debates em educação, Journal Year: 2024, Volume and Issue: 16(38), P. e16694 - e16694

Published: June 26, 2024

Este artigo propõe a integração de inteligência artificial e câmeras vigilância em avaliações educacionais, visando combater crescente trapaça acadêmica. A pesquisa explora perspectiva professores estabelece oito diretrizes éticas para o uso responsável dessas tecnologias. O monitoramento inteligente não apenas identifica comportamentos suspeitos, mas também promove equidade transparência. Estas garantem consentimento informado, proteção da privacidade evitam discriminações. responsabilidade institucional assegura uma implementação ética, cultivando cultura honestidade no ambiente educacional.

Citations

0
Yoga Pose Detection for Human Rehabilitation Using Deep Leaning DOI Open Access

Prof. Moumita Dey

International Journal for Research in Applied Science and Engineering Technology, Journal Year: 2023, Volume and Issue: 11(12), P. 231 - 235

Published: Dec. 5, 2023

Abstract: Yoga is an ancient science and discipline originated in India 5000 years ago. It used to bring harmony both body mind with the help of asana, meditation various other breathing techniques peace mind. Due increase stress modern lifestyle, yoga has become popular throughout world. There are ways through which one can learn yoga. be learnt by attending classes at a centre or home tutoring. also self-learnt books videos. Most people prefer self-learning but it hard for them find incorrect parts their poses themselves. idea behind this pose detection project using deep learning neural network that popularity increasing day because its benefits. Doing helps us physically, mentally as well spiritually. Because many nowadays doing regularly. The main recognize they technique. involves 8 rungs limbs it, includes Yama, Niyama, Asana, Pranayama, Dharana, Dhyana Samadhi. To easily understand performing via images, video recording classifying we implementing will incline towards more get identify very easily.

Language: Английский

Citations

0