Analysis of the hands in egocentric vision: A survey

A Bandini, J Zariffa - IEEE transactions on pattern analysis and …, 2020 - ieeexplore.ieee.org
Egocentric vision (aka first-person vision–FPV) applications have thrived over the past few
years, thanks to the availability of affordable wearable cameras and large annotated …

EgoGesture: A new dataset and benchmark for egocentric hand gesture recognition

Y Zhang, C Cao, J Cheng, H Lu - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Gesture is a natural interface in human-computer interaction, especially interacting with
wearable devices, such as VR/AR helmet and glasses. However, in the gesture recognition …

[HTML][HTML] An outlook into the future of egocentric vision

C Plizzari, G Goletto, A Furnari, S Bansal… - International Journal of …, 2024 - Springer
What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …

Egocentric gesture recognition using recurrent 3d convolutional neural networks with spatiotemporal transformer modules

C Cao, Y Zhang, Y Wu, H Lu… - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Gesture is a natural interface in interacting with wearable devices such as VR/AR helmet
and glasses. The main challenge of gesture recognition in egocentric vision arises from the …

Fingertip detection and tracking for recognition of air-writing in videos

S Mukherjee, SA Ahmed, DP Dogra, S Kar… - Expert Systems with …, 2019 - Elsevier
Air-writing is the process of writing characters or words in free space using finger or hand
movements without the aid of any hand-held device. In this work, we address the problem of …

FedAWR: An interactive federated active learning framework for air writing recognition

X Kong, W Zhang, Y Qu, X Yao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The rapid development of technology such as virtual reality and augmented reality, coupled
with the reduced direct contact due to the COVID-19 pandemic, has led to the emergence of …

Unified learning approach for egocentric hand gesture recognition and fingertip detection

MM Alam, MT Islam, SMM Rahman - Pattern recognition, 2022 - Elsevier
Head-mounted device-based human-computer interaction often requires egocentric
recognition of hand gestures and fingertips detection. In this paper, a unified approach of …

Can Vision-Language Models Think from a First-Person Perspective?

S Cheng, Z Guo, J Wu, K Fang, P Li, H Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
Vision-language models (VLMs) have recently shown promising results in traditional
downstream tasks. Evaluation studies have emerged to assess their abilities, with the …

[HTML][HTML] A deep learning-based end-to-end composite system for hand detection and gesture recognition

AAQ Mohammed, J Lv, MS Islam - Sensors, 2019 - mdpi.com
Recent research on hand detection and gesture recognition has attracted increasing interest
due to its broad range of potential applications, such as human-computer interaction, sign …

Computer vision-based assessment of autistic children: Analyzing interactions, emotions, human pose, and life skills

VG Prakash, M Kohli, S Kohli, AP Prathosh… - IEEE …, 2023 - ieeexplore.ieee.org
In this paper, the proposed work implements and tests the computer vision applications to
perform the skill and emotion assessment of children with Autism Spectrum Disorder (ASD) …