Human activity recognition in artificial intelligence framework: a narrative review

N Gupta, SK Gupta, RK Pathak, V Jain… - Artificial intelligence …, 2022 - Springer
Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …

FL-PMI: federated learning-based person movement identification through wearable devices in smart healthcare systems

KS Arikumar, SB Prathiba, M Alazab, TR Gadekallu… - Sensors, 2022 - mdpi.com
Recent technological developments, such as the Internet of Things (IoT), artificial
intelligence, edge, and cloud computing, have paved the way in transforming traditional …

Human action recognition in smart living services and applications: context awareness, data availability, personalization, and privacy

G Diraco, G Rescio, A Caroppo, A Manni, A Leone - Sensors, 2023 - mdpi.com
Smart living, an increasingly prominent concept, entails incorporating sophisticated
technologies in homes and urban environments to elevate the quality of life for citizens. A …

Human activity recognition from sensor data using spatial attention-aided CNN with genetic algorithm

A Sarkar, SKS Hossain, R Sarkar - Neural Computing and Applications, 2023 - Springer
Capturing time and frequency relationships of time series signals offers an inherent barrier
for automatic human activity recognition (HAR) from wearable sensor data. Extracting …

Deep learning for heterogeneous human activity recognition in complex iot applications

M Abdel-Basset, H Hawash, V Chang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
With continued improvements in wireless sensing technology, the notion of the Internet of
Things (IoT) has been widely adopted and has become pervasive owing to its broad …

Exploring raw data transformations on inertial sensor data to model user expertise when learning psychomotor skills

M Portaz, A Corbi, A Casas-Ortiz, OC Santos - User Modeling and User …, 2024 - Springer
This paper introduces a novel approach for leveraging inertial data to discern expertise
levels in motor skill execution, specifically distinguishing between experts and beginners. By …

Context-Aware Edge-Based AI Models for Wireless Sensor Networks—An Overview

AA Al-Saedi, V Boeva, E Casalicchio, P Exner - Sensors, 2022 - mdpi.com
Recent advances in sensor technology are expected to lead to a greater use of wireless
sensor networks (WSNs) in industry, logistics, healthcare, etc. On the other hand, advances …

Human activity recognition based on multi‐instance learning

D Bagci Das, D Birant - Expert Systems, 2023 - Wiley Online Library
Human activity recognition (HAR) is the process of classifying a person's actions, and it is an
essential task for many human‐centered applications. Multi‐instance learning (MIL) is a …

Human Activity Recognition Berdasarkan Tangkapan Webcam Menggunakan Metode Convolutional Neural Network (CNN) Dengan Arsitektur MobileNet

FA Hariz, IN Yulita, I Suryana - JITSI: Jurnal Ilmiah Teknologi Sistem …, 2022 - jurnal-itsi.org
Manusia tidak bisa terlepas dari aktivitas sehari-hari yang mana merupakan bagian dari
kehidupan manusia. Human activity recognition atau pengenalan aktivitas manusia saat ini …

A framework for daily living activity recognition using fusion of smartphone inertial sensors data

S Khan, SMA Shah, SH Noorani… - 2023 4th …, 2023 - ieeexplore.ieee.org
Recent years have seen rapid advancements in the human activity recognition field using
data from smart sensor devices. A wide variety of real-world applications can be found in …