V
Vishwanath Bijalwan
Publications - 19
Citations - 661
Vishwanath Bijalwan is an academic researcher. The author has contributed to research in topics: Computer science & Gait (human). The author has an hindex of 5, co-authored 15 publications receiving 398 citations.
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KNN based Machine Learning Approach for Text and Document Mining
TL;DR: This paper first categorize the documents using KNN based machine learning approach and then return the most relevant documents to solve the text categorization problem.
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Machine learning approach for text and document mining
TL;DR: In this article, a KNN-based machine learning approach was used to classify the documents and then return the most relevant documents for text categorization, which has received much attention in the last years from both researchers in the academia and industry developers.
Journal ArticleDOI
Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor
TL;DR: Three state of art techniques are used as artificial neural network, extreme learning machine and deep neural network learning based CNN mode for the classification purpose and the model classification accuracy is obtained as 87.4%, 88% and 92%, respectively.
Journal ArticleDOI
Fusion of Multi-Sensor-Based Biomechanical Gait Analysis Using Vision and Wearable Sensor
TL;DR: The main contribution of this research work is the joint angle calculation of lower extremities of human gait based on Microsoft Kinect sensor V2 and IMU sensor, which came with the observation that the characteristics of the human knee joint and ankle joint are inversely related to each other.
Journal ArticleDOI
Wearable sensor-based pattern mining for human activity recognition: deep learning approach
TL;DR: The inverse kinematics algorithm is solved to calculate the joint angle from spatial data for all six joints hip, knee, ankle of left and right leg and it helps to understand the different joint angle patterns during different activities.