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 …
the 1980s. Various approaches have been proposed with a great portion of them addressing …
Human activity recognition: A review
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 …
various contexts like security surveillance, healthcare and human computer interaction. In …
View invariant human action recognition using histograms of 3d joints
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 …
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
Recent advancements in depth video sensors technologies have made human activity
recognition (HAR) realizable for elderly monitoring applications. Although conventional HAR …
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 …
with applications spanning video-based surveillance applications, sports monitoring, and …
A survey on human motion analysis from depth data
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 …
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
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 …
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
Remote physical activity recognition is gaining popularity as it provides improved healthcare
monitoring services without hampering the daily lifestyle of individuals. For smart 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 …
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 …
magnetometers etc. which has allowed instant medical response to any injurious activity in …