Hinst: Human‐Like Interactive Instinct Enables Robots to Robustly Accomplish Universal Tasks
Aiming at current robot limitations of poor flexibility, poor practicality, and poor universality in task accomplishment, the authors report a human‐like interactive instinct (Hinst) and an anthropomorphic robotic system architecture. The Hinst greatly enhances the efficiency and the success rate of robotic manipulation, skill learning, and task ...
Zijian Liao +4 more
wiley +1 more source
PipeDoll: A Motion Capture Addon for the Godot Game Engine [PDF]
Character animation is a key challenge in game development and other fields and is often created using motion capture. However, traditional motion capture requires specialized hardware and can be inaccessible for small teams.
Tucker, Ethan
core
Estimation of yoga postures using machine learning techniques
Yoga is a traditional Indian way of keeping the mind and body fit, through physical postures (asanas), voluntarily regulated breathing (pranayama), meditation, and relaxation techniques.
D Mohan Kishore +2 more
doaj +1 more source
Video‐Based Data‐Driven Models for Diagnosing Movement Disorders: Review and Future Directions
Abstract Movement disorders are abnormal, involuntary movements that can heavily impact a person's quality of life. In clinical practice, diagnosis and severity assessments rely mainly on visual clinical inspections (ie, on subjective expert opinion). With clinical videos commonly acquired as part of examinations, novel data‐driven models have emerged ...
Rafael Martínez‐García‐Peña +3 more
wiley +1 more source
Deteksi Objek bertumpuk Gerak Tangan Bahasa Isyarat SIBI dengan Algoritma LSTM-Holistic [PDF]
Tantangan yang dihadapi individu dengan gangguan pendengaran dalam berkomunikasi, terutama di lingkungan yang kurang mendukung komunikasi visual, menegaskan pentingnya bahasa isyarat sebagai media utama.
Mulyana, Dadang Iskandar +1 more
core +2 more sources
A Multi‐User Virtual Reality Game Based on Gesture Recognition From RGB Information
The proposed framework that integrates MediaPipe with VGG22 for detecting 21 landmarks for hand gesture recognition from RGB video. The YOLOv8 is used for object detection to enable robust real‐time human‐computer interaction in a virtual tennis environment.
Stefanos Gkoutzios, Michalis Vrigkas
wiley +1 more source
Computer Vision Technologies in Movement Disorders: A Systematic Review
Abstract Background Evaluation of movement disorders primarily relies on phenomenology. Despite refinements in diagnostic criteria, the accuracy remains suboptimal. Such a gap may be bridged by machine learning and video technology, which permit objective, quantitative, non‐invasive motor analysis.
Pasquale Maria Pecoraro +4 more
wiley +1 more source
Analysis of Vision based Techniques for the Translation of Indian Sign Language [PDF]
Sign language acts as a medium of communication among those of the hearing impaired and mute community. However, it cannot be easily understood by common people.
Attili SubhaVidisha, et al.
core +2 more sources
Computer Vision and Facial Landmark Detection in Dermatology: A Proof‐of‐Concept Study
Experimental Dermatology, Volume 35, Issue 3, March 2026.
Christopher A. Guirguis +2 more
wiley +1 more source
Skeleton‐Based Posture Recognition for Home Care From Virtual Unmanned Aerial Vehicle
ABSTRACT This article presents a novel approach for real‐time posture recognition in monitoring scenarios, utilising a virtual camera simulated on a UAV within virtual environments. Leveraging the MediaPipe Pose library, key points of the body skeleton are extracted, focusing on a subset of 8 key points for computational efficiency.
Andrés Bustamante +4 more
wiley +1 more source

