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 …
Development of the LSTM model and universal polynomial equation for all the sub-phases of human gait
Human gait can be measured using a change in the joint angles value of the lower limb
joints during walking. Inverse kinematics (IK) of a human leg refers to calculating joint angle …
joints during walking. Inverse kinematics (IK) of a human leg refers to calculating joint angle …
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 …
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) …
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 …
Human joints analysis system: A machine learning approach
Bipedal robots are the humanoid robots and now a days they are the gems of industries as
well as other fields. Still bipedal robots are suffering from sort of locomotion problems as …
well as other fields. Still bipedal robots are suffering from sort of locomotion problems as …
Development of universal polynomial equation for all the sub-phases of human gait
A Verma, VB Semwal, K Kumar Singh - Machine Vision and Augmented …, 2021 - Springer
Calculating the joint parameters values which place the end effector of a manipulator to the
given (desired) Cartesian position is called the inverse kinematics solution. The Human leg …
given (desired) Cartesian position is called the inverse kinematics solution. The Human leg …
Real‐time force doors detection system using distributed sensors and neural networks
J Pascual Espada, V García‐Díaz… - … Journal of Intelligent …, 2019 - Wiley Online Library
Intelligent security systems have evolved enormously in the last few years. Most of these
security systems use a group of physics sensors and algorithms for data analysis and …
security systems use a group of physics sensors and algorithms for data analysis and …