A survey on deep learning for human activity recognition
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …
home. In this study, we provide a comprehensive survey on recent advances and challenges …
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …
the computer vision. It has critical application in wide variety of tasks including gaming …
Segment anything
Abstract We introduce the Segment Anything (SA) project: a new task, model, and dataset for
image segmentation. Using our efficient model in a data collection loop, we built the largest …
image segmentation. Using our efficient model in a data collection loop, we built the largest …
Expansion-squeeze-excitation fusion network for elderly activity recognition
This work focuses on the task of elderly activity recognition, which is a challenging task due
to the existence of individual actions and human-object interactions in elderly activities …
to the existence of individual actions and human-object interactions in elderly activities …
Lsta: Long short-term attention for egocentric action recognition
Egocentric activity recognition is one of the most challenging tasks in video analysis. It
requires a fine-grained discrimination of small objects and their manipulation. While some …
requires a fine-grained discrimination of small objects and their manipulation. While some …
Trear: Transformer-based rgb-d egocentric action recognition
In this article, we propose a transformer-based RGB-D egocentric action recognition
framework, called Trear. It consists of two modules: 1) interframe attention encoder and 2) …
framework, called Trear. It consists of two modules: 1) interframe attention encoder and 2) …
Searching multi-rate and multi-modal temporal enhanced networks for gesture recognition
Gesture recognition has attracted considerable attention owing to its great potential in
applications. Although the great progress has been made recently in multi-modal learning …
applications. Although the great progress has been made recently in multi-modal learning …
Learning to anticipate egocentric actions by imagination
Anticipating actions before they are executed is crucial for a wide range of practical
applications, including autonomous driving and robotics. In this paper, we study the …
applications, including autonomous driving and robotics. In this paper, we study the …
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 …
[HTML][HTML] Egocentric vision-based action recognition: A survey
The egocentric action recognition EAR field has recently increased its popularity due to the
affordable and lightweight wearable cameras available nowadays such as GoPro and …
affordable and lightweight wearable cameras available nowadays such as GoPro and …