RGB-D-based action recognition datasets: A survey
Human action recognition from RGB-D (Red, Green, Blue and Depth) data has attracted
increasing attention since the first work reported in 2010. Over this period, many benchmark …
increasing attention since the first work reported in 2010. Over this period, many benchmark …
Deep convolutional neural networks for human action recognition using depth maps and postures
In this paper, we present a method (Action-Fusion) for human action recognition from depth
maps and posture data using convolutional neural networks (CNNs). Two input descriptors …
maps and posture data using convolutional neural networks (CNNs). Two input descriptors …
The ordinal nature of emotions: An emerging approach
GN Yannakakis, R Cowie… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Computational representation of everyday emotional states is a challenging task and,
arguably, one of the most fundamental for affective computing. Standard practice in emotion …
arguably, one of the most fundamental for affective computing. Standard practice in emotion …
Skeleton-based bio-inspired human activity prediction for real-time human–robot interaction
Activity prediction is an essential task in practical human-centered robotics applications,
such as security, assisted living, etc., which is targeted at inferring ongoing human activities …
such as security, assisted living, etc., which is targeted at inferring ongoing human activities …
One-shot learning based pattern transition map for action early recognition
In a natural and accessible Human Robot Interaction (HRI), it is required to understand
human activities instantly. In this paper, we present a novel approach for early recognition of …
human activities instantly. In this paper, we present a novel approach for early recognition of …
Prognosing human activity using actions forecast and structured database
V Dutta, T Zielinska - IEEE Access, 2020 - ieeexplore.ieee.org
The goal of this work is to forecast human activities that may require robot assistance. Each
activity consists of consecutive actions. Each action is bounded by initial and final state and …
activity consists of consecutive actions. Each action is bounded by initial and final state and …
Event detection in continuous video: An inference in point process approach
Z Qin, CR Shelton - IEEE Transactions on Image Processing, 2017 - ieeexplore.ieee.org
We propose a novel approach toward event detection in real-world continuous video
sequences. The method: 1) is able to model arbitrary-order non-Markovian dependences in …
sequences. The method: 1) is able to model arbitrary-order non-Markovian dependences in …
Exploring sources of variation in human behavioral data: Towards automatic audio-visual emotion recognition
Y Kim - 2015 International Conference on Affective Computing …, 2015 - ieeexplore.ieee.org
My PhD work aims at developing computational methodologies for automatic emotion
recognition from audiovisual behavioral data. A main challenge in automatic emotion …
recognition from audiovisual behavioral data. A main challenge in automatic emotion …
Human body language understanding for action detection using geometric features
N Shirbhate, K Talele - 2016 2nd International Conference on …, 2016 - ieeexplore.ieee.org
In human interaction, understanding human behaviors is a challenging problem in todays
world. Action recognition has become a very important topic in detecting the emotional …
world. Action recognition has become a very important topic in detecting the emotional …
Performance analysis of triaxial accelerometer for activity recognition
M Poorani, V Vaidehi… - 2016 Eighth International …, 2017 - ieeexplore.ieee.org
Human Activity Recognition (HAR) based on accelerometer has become an important
mobile application. Activity recognition however depends on X, Y, Z the Cartesian …
mobile application. Activity recognition however depends on X, Y, Z the Cartesian …