Augmented humanity: a systematic mapping review
Augmented humanity (AH) is a term that has been mentioned in several research papers.
However, these papers differ in their definitions of AH. The number of publications dealing …
However, these papers differ in their definitions of AH. The number of publications dealing …
Make skeleton-based action recognition model smaller, faster and better
Although skeleton-based action recognition has achieved great success in recent years,
most of the existing methods may suffer from a large model size and slow execution speed …
most of the existing methods may suffer from a large model size and slow execution speed …
Halp: Hallucinating latent positives for skeleton-based self-supervised learning of actions
Supervised learning of skeleton sequence encoders for action recognition has received
significant attention in recent times. However, learning such encoders without labels …
significant attention in recent times. However, learning such encoders without labels …
Enhanced discriminative graph convolutional network with adaptive temporal modelling for skeleton-based action recognition
Graph convolutional networks (GCNs) have achieved promising results in skeleton-based
action recognition due to their capability in analysing irregular grids with non-Euclidean …
action recognition due to their capability in analysing irregular grids with non-Euclidean …
Skeleton-based hand gesture recognition using geometric features and spatio-temporal deep learning approach
Dynamic hand gesture recognition using a 3D skeleton dataset has become the most
attractive research domain because of the multipurpose application. Although many …
attractive research domain because of the multipurpose application. Although many …
Video based basketball shooting prediction and pose suggestion system
Video based motion analysis, which aims to acquire the whole posture data by simple
camera and without placing sensors on the body parts, has become the major analysis …
camera and without placing sensors on the body parts, has become the major analysis …
Dynamic Hand Gesture Recognition Using Effective Feature Extraction and Attention Based Deep Neural Network.
Skeleton-based dynamic hand gesture recognition has become the most attractive and
popular research domain due to its wide range of applications. Sign language recognition …
popular research domain due to its wide range of applications. Sign language recognition …
Cascaded neural networks for identification and posture-based threat assessment of armed people
B Abruzzo, K Carey, C Lowrance… - … on Technologies for …, 2019 - ieeexplore.ieee.org
This paper presents a near real-time, multistage classifier which identifies people and
handguns in images, and then further assesses the threat-level that a person poses based …
handguns in images, and then further assesses the threat-level that a person poses based …
Intelligent Performance Evaluation in Rowing Sport Using a Graph-Matching Network
Rowing competitions require consistent rowing strokes among crew members to achieve
optimal performance. However, existing motion analysis techniques often rely on wearable …
optimal performance. However, existing motion analysis techniques often rely on wearable …
Motion pattern based representation for improving human action retrieval
M Ramezani, F Yaghmaee - Multimedia Tools and Applications, 2018 - Springer
In recent years, many videos have been shared on the Internet. Finding desired videos
among the large amount of video files is known as a major challenge in big data. Due to …
among the large amount of video files is known as a major challenge in big data. Due to …