Results 41 to 50 of about 476 (129)

Interpreting Sign Language Recognition using Transformers and MediaPipe Landmarks

INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, 2023
Sign Language Recognition (SLR) is a challenging task that aims to bridge the communication gap between the deaf and hearing communities. In recent years, deep learning-based approaches have shown promising results in SLR. However, the lack of interpretability remains a significant challenge.
Cristina Luna Jiménez, Manuel Gil-Martín, Ricardo Kleinlein, Rubén San Segundo, Fernando Fernández Martínez   +4 more
openaire   +2 more sources

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

Comparative Analysis of MobileNetV3 and EfficientNetv2B0 in BISINDO Hand Sign Recognition Using MediaPipe Landmarks

Journal of Applied Informatics and Computing
Sign language is a vital communication medium for individuals with hearing and speech impairments. In Indonesia, more than 2.6 million people experience hearing disabilities, most of whom rely on Bahasa Isyarat Indonesia BISINDO for daily interaction ...
Alief Khairul Fadzli, Majid Rahardi
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

Indonesian Sign Language Application Using Mediapipe and Gated Recurrent Unit in Real Time

Journal of Applied Informatics and Computing
Indonesian Sign Language (BISINDO) is a natural communication tool for the deaf community. However, the communication gap between signers and the general public remains a challenge due to the dynamic nature of sign language.
Adi Triswantoro, Febrian Murti Dewanto, Aris Tri Jaka Harjanta   +2 more
doaj   +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

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

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

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

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