Results 61 to 70 of about 4,892 (216)

Intelligent Fall Alert System for Identification and Fall Detection

วารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์
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

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

Movement 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, Luca Marsili, Antonio Cannavacciuolo, Kevin R. Duque, Jesus Abanto, Jennifer Sharma, Jennifer Scheler, Heba A. Deraz, Lauren Wingler, Vincenzo Di Lazzaro, Alberto J. Espay, Lazzaro di Biase, Matteo Bologna   +12 more
wiley   +1 more source

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

Developmental 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, Julia Yurkovic‐Harding, Tamas Foldes, Jessica Bradshaw, Yu‐Kun Lai, Hana D'Souza   +5 more
wiley   +1 more source

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

JOIV: 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

Artificial Intelligence‐Augmented Morphometric Reporting for Standardized Facial Aesthetic Treatment Planning: A Multi‐Rater Reliability Study

Journal of Cosmetic Dermatology, Volume 25, Issue 5, May 2026.
ABSTRACT Background Facial aesthetic assessment is inherently subjective, leading to significant inter‐observer variability in treatment planning. Artificial intelligence (AI) offers a potential framework for standardized morphometric reporting. Objective To evaluate whether AI‐augmented morphometric reports improve the consistency of simulated ...
Ömer Karakoyun, Kadir Kaya, Ayşegül Tel Kankılıç, Nur Ecer   +3 more
wiley   +1 more source

Design of an experimental platform of gait analysis with ActiSense and StereoPi

Current Directions in Biomedical Engineering, 2022
Gait analysis is a systematic study of human movement. Combining wearable foot pressure sensors and machine learning (ML) solutions for a high-fidelity body pose tracking from RGB video frames could reveal more insights into gait abnormalities.
Leer Alexandra, Garcia Santa Cruz Beatriz, Hertel Frank, Koch Klaus Peter, Bremm Rene Peter   +4 more
doaj   +1 more source

Next-Gen Dynamic Hand Gesture Recognition: MediaPipe, Inception-v3 and LSTM-Based Enhanced Deep Learning Model

Electronics
Gesture recognition is crucial in computer vision-based applications, such as drone control, gaming, virtual and augmented reality (VR/AR), and security, especially in human–computer interaction (HCI)-based systems.
Oh-Jin Kwon, Jaeho Kim, Sonain Jamil, Jinhee Lee, Faizad Ullah   +4 more
semanticscholar   +1 more source

Electromagnetic Perception With Artificial Intelligence‐Empowered Programable Metasurface: From Data‐Driven Imaging to Semantic Sensing

Advanced Photonics Research, Volume 7, Issue 4, April 2026.
This review chronicles the evolution of intelligent electromagnetic (EM) perception systems empowered by metasurfaces and artificial intelligence. The progression from data‐driven imaging with implicit priors to semantic sensing with explicit priors is systematically reviewed.
Xingrui Zhou, Jiawen Xu, Jiachen Wei, Fan Lu, Lianfeng Li, Lianlin Li   +5 more
wiley   +1 more source

Control the robot arm through vision-based human hand tracking [PDF]

FME Transactions
In this paper, hand tracking based on computer vision is developed to control the movement of a SCARA robot arm. The robot arm will move according to the movement of the human hand.
Phuong Le Hoai, Cong Vo Duy
doaj   +1 more source

Real‐Time HRI: Human Hand Gesture Mapping for 7‐DoF Robotic Arm Operation

Concurrency and Computation: Practice and Experience, Volume 38, Issue 6, March 2026.
ABSTRACT Existing gesture‐controlled robotic systems often decouple perception from control, resulting in delayed, discrete, and noncontinuous motion execution. To address these limitations, this study introduces a novel real‐time human‐robot interaction framework‐AI‐RTGM (Artificial Intelligence‐based Real‐Time Gesture Mapping)‐that unifies gesture ...
Sajjad Hussain, Khizer Saeed, Almas Baimagambetov, Yannis Manolopoulos, Nikolaos Polatidis   +4 more
wiley   +1 more source