Results 51 to 60 of about 3,499 (212)

Validation of Angle Estimation Based on Body Tracking Data from RGB-D and RGB Cameras for Biomechanical Assessment

open access: yesSensors, 2022
Motion analysis is an area with several applications for health, sports, and entertainment. The high cost of state-of-the-art equipment in the health field makes it unfeasible to apply this technique in the clinics’ routines.
Thiago Buarque de Gusmão Lafayette   +7 more
doaj   +1 more source

MediaPipe Hands: On-device Real-time Hand Tracking

open access: yesCoRR, 2020
5 pages, 7 figures; CVPR Workshop on Computer Vision for Augmented and Virtual Reality, Seattle, WA, USA ...
Fan Zhang   +6 more
openaire   +3 more sources

A Comprehensive Review of Traditional and Machine Learning‐Assisted Diffuse Optical Spectroscopy and Imaging Techniques for Dermatological Applications

open access: yesAdvanced Photonics Research, Volume 7, Issue 5, May 2026.
This review critically examines clinical studies on both conventional and machine learning (ML)‐integrated diffuse optical spectroscopy and imaging methods for dermatological applications, with a primary focus on the past decade and inclusion of earlier foundational work where appropriate.
Iftak Hussain   +7 more
wiley   +1 more source

Intelligent Fall Alert System for Identification and Fall Detection

open access: yesวารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์
At present, accidents caused by falls causing loss in the elderly and those living alone. The resulting loss can lead to disability or even death if not treated in time. Therefore, the developers propose a new technique for detecting falls. It uses image
Narote Nilsukhum, Wiyada Yawai
doaj   +1 more source

Evaluating Idle Animation Believability: A User Perspective

open access: yesComputer Animation and Virtual Worlds, Volume 37, Issue 3, May/June 2026.
This work demonstrates that there is no perceptual difference between genuine and acted idle motion. The first dataset containing these idle animations is also provided. ABSTRACT Animating realistic avatars requires using high‐quality animations for every possible state the avatar can be in.
Eneko Atxa Landa   +4 more
wiley   +1 more source

HUMAN POSE ESTIMATION USING MEDIAPIPE LIBRARY

open access: yes
U ovom završnom radu prikazan je i pojašnjen pojam procjene položaja na slici i videu, biblioteka MediaPipe te je opisana implementacija iste. Ovaj rad pokriva različite primjere neuronskih mreža i stavlja naglasak na konvolucijske i rekurentne neuronske
Matan, Kristina
core   +3 more sources

EYE - mouse as a computer mouse using mediapipe framework. [PDF]

open access: yes, 2023
This master’s thesis proposes an approach for Patients having neuro-motor disabilities who may occasionally lose their capacity to communicate with others as their condition deteriorates.
Shiradanahalli Dhananjaya, Bhumika,
core  

Computer Vision Analysis for Objective Motor Assessment in Parkinson's Disease: A Retrospective Study

open access: yesMovement Disorders Clinical Practice, Volume 13, Issue 5, Page 1266-1276, May 2026.
Abstract Background The Movement Disorder Society‐Unified Parkinson's Disease Rating Scale‐Part III (MDS‐UPDRS‐III) is subjective and insensitive to subtle changes in patients with Parkinson's disease (PD). Computer vision (CV) can extract objective kinematics from routine outpatient videos, potentially augmenting the accuracy of the motor assessment ...
Pasquale Maria Pecoraro   +12 more
wiley   +1 more source

Biometric Authentication based on Liveness Detection Using Face Landmarks and Deep Learning Model

open access: yesJOIV: International Journal on Informatics Visualization, 2023
This paper describes the approach to active liveness detection of the face using facial features and movements. The project aims to create a better method for detecting liveness in real-time on an application programming interface (API) server.
Ooi Zhi Jie, Lim Tong Ming, Tan Chi Wee
doaj   +1 more source

Making Machine Learning Accessible for Developmental Science: The Case of Automated Face Detection

open access: yesDevelopmental Science, Volume 29, Issue 3, May 2026.
ABSTRACT The last decade has seen rapid advancements in machine learning, significantly transforming fields like cybersecurity and healthcare. Developmental science has been slower to adopt these technologies. Yet, machine learning holds immense potential to transform this field, enabling scalable and data‐driven insights into developmental processes ...
Teodor Y. Nikolov   +5 more
wiley   +1 more source

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