Enhanced computer vision with microsoft kinect sensor: A review

J Han, L Shao, D Xu, J Shotton - IEEE transactions on …, 2013 - ieeexplore.ieee.org
With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual
(RGB) sensing has become available for widespread use. The complementary nature of the …

Pixels to precision: features fusion and random forests over labelled-based segmentation

A Naseer, A Jalal - 2023 20th International Bhurban …, 2023 - ieeexplore.ieee.org
Object classification is a crucial yet challenging vision ability to perfect The fundamental
objective is to educate computers to understand visuals the same way humans do. Due to …

Robust human activity recognition from depth video using spatiotemporal multi-fused features

A Jalal, YH Kim, YJ Kim, S Kamal, D Kim - Pattern recognition, 2017 - Elsevier
The recently developed depth imaging technologies have provided new directions for
human activity recognition (HAR) without attaching optical markers or any other motion …

Sensors technologies for human activity analysis based on SVM optimized by PSO algorithm

M Batool, A Jalal, K Kim - 2019 international conference on …, 2019 - ieeexplore.ieee.org
The rapid growth of wearable sensors have increased the importance of human activity
analysis in different areas of information technologies. Motion artifacts often degrade the …

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 …

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 wrist worn acceleration based human motion analysis and classification for ambient smart home system

A Jalal, MAK Quaid, K Kim - Journal of Electrical Engineering & …, 2019 - Springer
In recent years, health-care industry has received a major boost due to sensors ie,
accelerometers, magnetometers etc., which allow its user to get instant updates about their …

Smartphone inertial sensors for human locomotion activity recognition based on template matching and codebook generation

U Azmat, A Jalal - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
In the recent past, recognition of human locomotion activities has become a growing
research area. Health monitoring, detection of a crowd's behavior and indoor-localization …

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 …