Wearable sensor-based pattern mining for human activity recognition: Deep learning approach
Purpose This paper aims to deal with the human activity recognition using human gait
pattern. The paper has considered the experiment results of seven different activities: normal …
pattern. The paper has considered the experiment results of seven different activities: normal …
Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor
A bipedal walking robot is a kind of humanoid robot. It is suppose to mimics human behavior
and designed to perform human specific tasks. Currently, humanoid robots are not capable …
and designed to perform human specific tasks. Currently, humanoid robots are not capable …
An optimized feature selection using bio-geography optimization technique for human walking activities recognition
A bipedal walking robot is a kind of humanoid robot. It mimics human behavior and is
devised to perform human-specific tasks. Currently, humanoid robots are not capable to …
devised to perform human-specific tasks. Currently, humanoid robots are not capable to …
Systematic development of a simple human gait index
Human gait analysis aims to assess gait mechanics and to identify the deviations from
“normal” gait patterns by using meaningful parameters extracted from gait data. As each …
“normal” gait patterns by using meaningful parameters extracted from gait data. As each …
Human gait state prediction using cellular automata and classification using ELM
In this research article, we have reported periodic cellular automata rules for different gait
state prediction and classification of the gait data using Extreme Machine Leaning (ELM) …
state prediction and classification of the gait data using Extreme Machine Leaning (ELM) …
Improved behavior monitoring and classification using cues parameters extraction from camera array images
A Jalal, S Kamal - 2019 - reunir.unir.net
Behavior monitoring and classification is a mechanism used to automatically identify or
verify individual based on their human detection, tracking and behavior recognition from …
verify individual based on their human detection, tracking and behavior recognition from …
Novel hybrid algorithm for Team Orienteering Problem with Time Windows for rescue applications
Robots for rescue operations after a disaster are an interesting and challenging research
problem that has the potential to save lives and reduce economic losses after a disaster. We …
problem that has the potential to save lives and reduce economic losses after a disaster. We …
Developed multi-objective grey wolf optimizer with fuzzy logic decision-making tool for direction overcurrent relays coordination
This paper proposes a new methodology for solving the coordination problem of DOCRs
based on multi-objective grey wolf optimizer and fuzzy logic decision-making. In addition to …
based on multi-objective grey wolf optimizer and fuzzy logic decision-making. In addition to …
Tracking of fall detection using IMU sensor: An IoHT application
This research work has developed the methodology to detect the fall of a person during
walking, running, and standing. The fall recovery capability & fall diagnosis information can …
walking, running, and standing. The fall recovery capability & fall diagnosis information can …
Data driven computational model for bipedal walking and push recovery
VB Semwal - arXiv preprint arXiv:1710.06548, 2017 - arxiv.org
In this research, we have developed the data driven computational walking model to
overcome the problem with traditional kinematics based model. Our model is adaptable and …
overcome the problem with traditional kinematics based model. Our model is adaptable and …