Sensor-based human activity recognition (HAR) has been an active research area, owing to
its applications in smart environments, assisted living, fitness, healthcare, etc. Recently …

Abstract Facial Expression Recognition (FER) is utilized in various fields, such as education,
gaming, robotics, healthcare, and others. Facial expression techniques, for instance, an …

Nowadays, everyone requires a good quality software. The quality of software can't be
assured due to lack of data availability for training, and testing. Thus, Transfer Learning (TL) …

Deep learning models have gained widespread acceptance in recent decades for their
ability to recognize human activities. In terms of automated feature extraction capability and …

This systematic review comprehensively scrutinizes transfer learning methods applied to
Human Activity Recognition (HAR) using Inertial Measurement Unit (IMU) data. Our …

Pervasive computing, human–computer interaction, human behavior analysis, and human
activity recognition (HAR) fields have grown significantly. Deep learning (DL)-based …

The concept of transfer learning has received a great deal of concern and interest
throughout the last decade. Selecting an ideal representational framework for instances of …

Human activity recognition (HAR) enables the recognition of the activities of daily living
using signals from motion sensors integrated into mobile and wearable devices. One of the …

In a developing country like India with a diversified customer base, acceptability and
adaptability are always challenging in case of any innovation. This study aims to identify the …

Human body recognition is widely used in smart home. The current mainstream perception
modalities, ie, camera and wearable device, are vulnerable under challenging lighting …