Results 1 to 10 of about 3,694 (210)
Using MediaPipe to track upper-limb reaching movements after stroke: a proof-of-principle study [PDF]
Journal of NeuroEngineering and RehabilitationEmerging work supports the use of artificial intelligence-based markerless motion capture systems to complement standardized clinical measures when assessing post-stroke motor recovery. MediaPipe Pose Landmarker is an open-sourced, machine learning tool,
Vaidehi Wagh +6 more
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Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study [PDF]
Frontiers in MedicineAs societies age, the number of individuals experiencing stroke increases, necessitating more effective rehabilitation strategies. Over half of stroke survivors suffer from upper limb impairments, making assessments of sensory-motor function crucial for ...
Tim Unger +14 more
doaj +2 more sources
MediaPipe with GNN for Human Activity Recognition [PDF]
Journal of Universal Computer ScienceHuman interaction and computer vision converge in the realm of Human Activity Recognition (HAR), which is a research field dedicated to the creation of automated systems capable of observing and categorizing human activities.
Nozha Jlidi +3 more
doaj +4 more sources
Body Posture Detection and Motion Tracking using AI for Medical Exercises and Recommendation System [PDF]
ITM Web of Conferences, 2022 Exercises are highly essential in our everyday lives, especially when patients are in the middle of a healing process and need to speed up their body's recuperation. Exercise has become more important in our lives as a result of this.
Patil Anuj +4 more
doaj +1 more source
Exploring MediaPipe optimization strategies for real-time sign language recognition
CTU Journal of Innovation and Sustainable Development, 2023 The present study meticulously investigates optimization strategies for real-time sign language recognition (SLR) employing the MediaPipe framework. We introduce an innovative multi-modal methodology, amalgamating four distinct Long Short-Term Memory ...
Phuoc Thanh Nguyen +5 more
doaj +3 more sources
Smart Application for Thai and English Sign Language Translation
วารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์, 2023 Currently, the sign language is used as a means of communication for individuals with hearing impairments. Since most people do not have knowledge to use sign language, as a result, miscommunication may occur.
Sahachok Khumwongsa, Wiyada Yawai
doaj +1 more source
Pemanfaatan Mediapipe Body Pose Estimation dan Dynamic Time Warping untuk Pembelajaran Tari Remo
Jurnal Teknologi dan Manajemen Informatika, 2023 Video can be used as a learning medium for various purposes. In this research, the object of study is the movements of the traditional dance "remo." Thus, as a substitute for an absent coach or instructor, videos can take on the role of a dance ...
Yusuf Effendi +3 more
doaj +1 more source
Inteligencia artificial y visión por computadora aplicada a la educación
Revista Odigos, 2022 El presente trabajo de investigación realiza una revisión bibliográfica sobre la inteligencia artificial, la visión por computadora, las herramientas de MediaPipe y aprendizaje automático, con el objetivo de generar una propuesta de tecnología que ...
Leonardo Antonio Sánchez López
doaj +1 more source
Applied Sciences, 2023 New guitarists face multiple problems when first starting out, and these mainly stem from a flood of information that they are presented with. Students also typically struggle with proper pitch frequency recognition and accurate left-hand motion.
Walaa H. Elashmawi +7 more
doaj +1 more source
Hand gesture recognition and voice conversion for deaf and Dumb [PDF]
E3S Web of Conferences, 2023 In this paper, we purpose a Hand gesture recognition model which can be used in real time application. This model is based on the mediapipe frame work of the google, Tensor flow in openCv and python and classification using feed forward neural network ...
Mopidevi Suneetha +3 more
doaj +1 more source