Results 1 to 10 of about 4,873 (197)

Using MediaPipe to track upper-limb reaching movements after stroke: a proof-of-principle study [PDF]

Journal of NeuroEngineering and Rehabilitation
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, Matthew W. Scott, Justin W. Andrushko, Christina B. Jones, Beverley C. Larssen, Lara A. Boyd, Sarah N. Kraeutner   +6 more
doaj   +3 more sources

MP-GestLSTM: real time gesture detection using MediaPipe and LSTM

Systems Science and Control Engineering
Sign language is a crucial form of communication for individuals with hearing impairments; thus, the development of accurate and efficient sign language recognition systems is of significant importance.
T.S. Varshini, P. Rukmani
exaly   +4 more sources

Human Pose Estimation Using MediaPipe Pose and Optimization Method Based on a Humanoid Model

Applied Sciences (Switzerland), 2023
Seniors who live alone at home are at risk of falling and injuring themselves and, thus, may need a mobile robot that monitors and recognizes their poses automatically.
Jong-Wook Kim, Jae-Ho Choi, Choi Jin-Young   +2 more
exaly   +2 more sources

Video-Based Hand Movement Analysis of Parkinson Patients before and after Medication Using High-Frame-Rate Videos and MediaPipe

Sensors, 2022
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.
Christoph Hoog Antink, Gokhan Guney, Sebastian Dill   +2 more
exaly   +3 more sources

Accuracy Evaluation of 3D Pose Estimation with MediaPipe Pose for Physical Exercises

Current Directions in Biomedical Engineering, 2023
With the recent increase in interest in machine learning and computer vision, camera-based pose estimation has emerged as a promising new technology.
Christoph Hoog Antink, Maurice Rohr, Sebastian Dill   +2 more
exaly   +2 more sources

Mexican Sign Language Recognition: Dataset Creation and Performance Evaluation Using MediaPipe and Machine Learning Techniques

Electronics (Switzerland)
In Mexico, around 2.4 million people (1.9% of the national population) are deaf, and Mexican Sign Language (MSL) support is essential for people with communication disabilities. Research and technological prototypes of sign language recognition have been
Ali Bassam, Rasikh Tariq
exaly   +2 more sources

Towards safer environments: A YOLO and MediaPipe-based human fall detection system with alert automation. [PDF]

MethodsX
Detecting human falls is essential to ensuring public safety, particularly in public areas like transit terminals. This study provides a precise and effective real-time fall detection system by utilising pose estimation and deep learning-based object ...
Kothari VP, Chakurkar PS.
europepmc   +2 more sources

Analyzing the Effect of Age and Gender on the Blink Reflex using MediaPipe

Current Directions in Biomedical Engineering, 2023
The glabellar tapping reflex (GTR) is a sign related to brain conditions and can be analyzed by clinicians for diagnostic purposes. To facilitate the quantitative analysis of this reflex, we developed a video-based tool using the MediaPipe framework.
Maurice Rohr
exaly   +2 more sources

Development of a MediaPipe-based framework for biomechanical quantification of table tennis forehand strokes

Frontiers in Sports and Active Living
Introduction This study aimed to quantify kinematic relationships across body segments during forehand strokes to provide interpretable metrics for single-camera based lightweight table tennis diagnostics.
Yuanyuan Lyu, Xiaoling Duan, Cheng Yang, Q. Ye   +3 more
exaly   +2 more sources

Design and Implementation of a Deep Learning-Based Hand Gesture Recognition System for Rehabilitation Internet-of-Things (RIoT) Environments Using MediaPipe

International Islamic University Malaysia Engineering Journal
Frequent hospital visits for hand rehabilitation exercises, such as strengthening and opposition exercises, present significant challenges, especially for patients in remote areas.
Nurul Hanis Mohd Dhuzuki, Ahmad Anwar Zainuddin , Nur Anis Sofea Kamarul Zaman, Alin Nur Maisarah Ahmad Razmi, Wonderful Shammah Kaitane, Asmarani Ahmad Puzi, Mohd Naqiuddin Johar, Maslina Yazid, Nor Azlin Mohd Nordin, Shahrul Naim Sidek, Hasan Firdaus Mohd Zaki   +10 more
doaj   +2 more sources