Tremor is one of the common symptoms of Parkinson’s disease (PD). Thanks to the recent evolution of digital technologies, monitoring of PD patients’ hand movements employing contactless methods gained momentum.
GÖkhan GÜney +2 more
exaly +3 more sources
Accuracy Evaluation of 3D Pose Estimation with MediaPipe Pose for Physical Exercises
With the recent increase in interest in machine learning and computer vision, camera-based pose estimation has emerged as a promising new technology.
Dill Sebastian +6 more
exaly +2 more sources
Development and implementation of a MediaPipe-based AI teaching-learning model in school physical education for health promotion [PDF]
IntroductionArtificial intelligence (AI) technologies are increasingly used in school physical education (PE) to provide real-time feedback and support instruction that promotes youth physical activity and health. However, many AI applications remain top-
Donghyun Kim +3 more
doaj +2 more sources
Using MediaPipe to track upper-limb reaching movements after stroke: a proof-of-principle study [PDF]
Emerging 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
doaj +2 more sources
Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study [PDF]
As 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
Body Posture Detection and Motion Tracking using AI for Medical Exercises and Recommendation System [PDF]
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
Japanese fingerspelling identification by using MediaPipe
Masanao Yasumuro, 神野 健哉
exaly +2 more sources
Exploring MediaPipe optimization strategies for real-time sign language recognition
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
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
Hand gesture recognition and voice conversion for deaf and Dumb [PDF]
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

