[HTML][HTML] Particle swarm optimization of convolutional neural networks for human activity prediction

PG Devarakonda, B Bozic - Optimisation Algorithms and Swarm …, 2022 - intechopen.com
The increased usage of smartphones for daily activities has created a huge demand and
opportunities in the field of ubiquitous computing to provide personalized services and …

Human activity recognition based on lstm neural network optimized by pso algorithm

KS Gajjala, B Chakraborty - 2021 IEEE 4th International …, 2021 - ieeexplore.ieee.org
Human activity recognition (HAR) approaches play significant roles in understanding
behavioral activities. These tools allow personalized services and support for users in varied …

Novel hybrid optimization based adaptive deep convolution neural network approach for human activity recognition system

M Ashwin, D Jagadeesan, M Raman Kumar… - Multimedia Tools and …, 2024 - Springer
Abstract Human Activity Recognition (HAR) has emerged as a crucial area of research in
computer vision, signal processing, and machine learning, enabling to automatically identify …

Optimized Convolutional Neural Network Using Hierarchical Particle Swarm Optimization for Sensor Based Human Activity Recognition

S Ankalaki, MN Thippeswamy - SN Computer Science, 2024 - Springer
Hyperparameter optimization poses a significant challenge when developing deep neural
networks. Building a convolutional neural network (CNN) for implementation can be an …

Optimizing the performance of KNN classifier for human activity recognition

A Al-Taei, MF Ibrahim, NJ Habeeb - … in Computing and Data Sciences: 5th …, 2021 - Springer
Recently, computer and smartphone devices have been increasingly employed in various
life aspects. Human Activity Recognition (HAR) is one of the most emerging fields that can …

LSTM Method for Human Activity Recognition of Video Using PSO Algorithm

M Razmah, R Prabha, B Divya… - … on Power, Energy …, 2022 - ieeexplore.ieee.org
A most alluring method is Human Activity Recognition (HAR) from video, cost-effective
computer vision-based recognition research and it has wide range of applications such as …

Human activity recognition using cell phone-based accelerometer and convolutional neural network

A Prasad, AK Tyagi, MM Althobaiti, A Almulihi… - Applied Sciences, 2021 - mdpi.com
Human Activity Recognition (HAR) has become an active field of research in the computer
vision community. Recognizing the basic activities of human beings with the help of …

HAR-Net: Fusing deep representation and hand-crafted features for human activity recognition

M Dong, J Han, Y He, X Jing - … and Computers: Proceedings of the 5th …, 2019 - Springer
Wearable computing and context awareness are the focuses of study in the field of artificial
intelligence recently. One of the most appealing as well as challenging applications is the …

Human activity recognition via wearable devices using enhanced ternary weight convolutional neural network

M Jaberi, R Ravanmehr - Pervasive and Mobile Computing, 2022 - Elsevier
Human activity recognition (HAR) has been known as an active area for more than a
decade, and there are still crucial aspects that are intended as challenging problems …

A hybrid deep learning model for human activity recognition using wearable sensors

K Gaurav, B Roy, J Bharti - … and Smart Systems: Proceedings of MISS …, 2022 - Springer
Human activity recognition is the most important field for supporting the everyday lives of
elderly people and sometimes finding out suffering to several cognitive dysfunctions like …