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 …
Overview of lifelogging: current challenges and advances
Lifelogging is the process of digital tracking of person's daily experiences for a variety of
purposes. In recent years, lifelogging has become an increasingly popular area of research …
purposes. In recent years, lifelogging has become an increasingly popular area of research …
Activity recognition using temporal optical flow convolutional features and multilayer LSTM
Nowadays digital surveillance systems are universally installed for continuously collecting
enormous amounts of data, thereby requiring human monitoring for the identification of …
enormous amounts of data, thereby requiring human monitoring for the identification of …
Chalearn looking at people: A review of events and resources
This paper reviews the historic of ChaLearn Looking at People (LAP) events. We started in
2011 (with the release of the first Kinect device) to run challenges related to human …
2011 (with the release of the first Kinect device) to run challenges related to human …
SDIGRU: spatial and deep features integration using multilayer gated recurrent unit for human activity recognition
T Ahmad, J Wu - IEEE Transactions on Computational Social …, 2023 - ieeexplore.ieee.org
Smart video surveillance plays a significant role in public security via storing a huge amount
of continual stream data, evaluates them, and generates warns where undesirable human …
of continual stream data, evaluates them, and generates warns where undesirable human …
Deep neural network-based speaker-aware information logging for augmentative and alternative communication
G Hu, SHK Chen, N Mazur - Journal of Artificial Intelligence and …, 2021 - ojs.istp-press.com
People with complex communication needs can use a high-technology augmentative and
alternative communication device to communicate with others. Currently, researchers and …
alternative communication device to communicate with others. Currently, researchers and …
Improving human activity recognition integrating lstm with different data sources: Features, object detection and skeleton tracking
JD Domingo, J Gomez-Garcia-Bermejo… - IEEE Access, 2022 - ieeexplore.ieee.org
Over the past few years, technologies in the field of computer vision have greatly advanced.
The use of deep neural networks, together with the development of computing capabilities …
The use of deep neural networks, together with the development of computing capabilities …
Multi-modal activity recognition from egocentric vision, semantic enrichment and lifelogging applications for the care of dementia
G Meditskos, PM Plans, TG Stavropoulos… - Journal of Visual …, 2018 - Elsevier
We describe a framework for lifelogging monitoring in the scope of dementia care, based on
activity recognition from egocentric vision and semantic context-enrichment. As pure vision …
activity recognition from egocentric vision and semantic context-enrichment. As pure vision …
Long activity video understanding using functional object-oriented network
Video understanding is one of the most challenging topics in computer vision. In this paper,
a four-stage video understanding pipeline is presented to simultaneously recognize all …
a four-stage video understanding pipeline is presented to simultaneously recognize all …
Detection of risky situations for frail adults with hybrid neural networks on multimodal health data
In healthcare applications, the multimedia methodology is applied to multimodal signals and
visual data. This article focuses on the detection of risk situations of frail people from lifelog …
visual data. This article focuses on the detection of risk situations of frail people from lifelog …