Human activity recognition from 3d data: A review

JK Aggarwal, L Xia - Pattern Recognition Letters, 2014 - Elsevier
Human activity recognition has been an important area of computer vision research since
the 1980s. Various approaches have been proposed with a great portion of them addressing …

Human activity recognition: A review

OC Ann, LB Theng - 2014 IEEE international conference on …, 2014 - ieeexplore.ieee.org
Human Activity Recognition is one of the active research areas in computer vision for
various contexts like security surveillance, healthcare and human computer interaction. In …

View invariant human action recognition using histograms of 3d joints

L Xia, CC Chen, JK Aggarwal - 2012 IEEE computer society …, 2012 - ieeexplore.ieee.org
In this paper, we present a novel approach for human action recognition with histograms of
3D joint locations (HOJ3D) as a compact representation of postures. We extract the 3D …

A depth video sensor-based life-logging human activity recognition system for elderly care in smart indoor environments

A Jalal, S Kamal, D Kim - Sensors, 2014 - mdpi.com
Recent advancements in depth video sensors technologies have made human activity
recognition (HAR) realizable for elderly monitoring applications. Although conventional HAR …

Drone-based human action recognition for surveillance: a multi-feature approach

Y Abbas, A Jalal - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Understanding human actions is crucial for enabling machines to interpret human behavior,
with applications spanning video-based surveillance applications, sports monitoring, and …

A survey on human motion analysis from depth data

M Ye, Q Zhang, L Wang, J Zhu, R Yang… - Time-of-flight and depth …, 2013 - Springer
Human pose estimation has been actively studied for decades. While traditional approaches
rely on 2d data like images or videos, the development of Time-of-Flight cameras and other …

Hybrid algorithm for multi people counting and tracking for smart surveillance

M Pervaiz, A Jalal, K Kim - 2021 International Bhurban …, 2021 - ieeexplore.ieee.org
Reliable people counting and tracking is active research topic in visual surveillance. In this
work, a novel approach has been proposed for estimating people and tracking their location …

Wearable sensors based exertion recognition using statistical features and random forest for physical healthcare monitoring

M Javeed, A Jalal, K Kim - 2021 International Bhurban …, 2021 - ieeexplore.ieee.org
Remote physical activity recognition is gaining popularity as it provides improved healthcare
monitoring services without hampering the daily lifestyle of individuals. For smart healthcare …

Wearable sensor-based human behavior understanding and recognition in daily life for smart environments

A Jalal, MAK Quaid, AS Hasan - 2018 International Conference …, 2018 - ieeexplore.ieee.org
Behavior recognition using motion sensors is getting prominence over other systems such
as e-healthcare and life-log analysis systems especially in the healthcare domain for …

A Triaxial acceleration-based human motion detection for ambient smart home system

A Jalal, MAK Quaid, MA Sidduqi - 2019 16th International …, 2019 - ieeexplore.ieee.org
Health industry off late has been driven heavily by sensors ie accelerometers,
magnetometers etc. which has allowed instant medical response to any injurious activity in …