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Analysis of the hands in egocentric vision: A survey
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 …
years, thanks to the availability of affordable wearable cameras and large annotated …
Toward storytelling from visual lifelogging: An overview
Visual lifelogging consists of acquiring images that capture the daily experiences of the user
by wearing a camera over a long period of time. The pictures taken offer considerable …
by wearing a camera over a long period of time. The pictures taken offer considerable …
Egogesture: a new dataset and benchmark for egocentric hand gesture recognition
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 …
wearable devices, such as VR/AR helmet and glasses. However, in the gesture recognition …
An outlook into the future of egocentric vision
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 …
research in egocentric vision and the ever-anticipated future, where wearable computing …
Survey on 3D hand gesture recognition
Three-dimensional hand gesture recognition has attracted increasing research interests in
computer vision, pattern recognition, and human-computer interaction. The emerging depth …
computer vision, pattern recognition, and human-computer interaction. The emerging depth …
Dynamic gesture recognition based on 2D convolutional neural network and feature fusion
J Yu, M Qin, S Zhou - Scientific Reports, 2022 - nature.com
Gesture recognition is one of the most popular techniques in the field of computer vision
today. In recent years, many algorithms for gesture recognition have been proposed, but …
today. In recent years, many algorithms for gesture recognition have been proposed, but …
First person action recognition using deep learned descriptors
We focus on the problem of wearer's action recognition in first person aka egocentric videos.
This problem is more challenging than third person activity recognition due to unavailability …
This problem is more challenging than third person activity recognition due to unavailability …
Fast and robust dynamic hand gesture recognition via key frames extraction and feature fusion
Gesture recognition is a hot topic in computer vision and pattern recognition, which plays a
vitally important role in natural human-computer interface. Although great progress has been …
vitally important role in natural human-computer interface. Although great progress has been …
Challenges in multi-modal gesture recognition
This paper surveys the state of the art on multimodal gesture recognition and introduces the
JMLR special topic on gesture recognition 2011–2015. We began right at the start of the …
JMLR special topic on gesture recognition 2011–2015. We began right at the start of the …
Egocentric gesture recognition using recurrent 3d convolutional neural networks with spatiotemporal transformer modules
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 …
and glasses. The main challenge of gesture recognition in egocentric vision arises from the …