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 …

Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey

F Demrozi, G Pravadelli, A Bihorac, P Rashidi - IEEE access, 2020 - ieeexplore.ieee.org
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …

A federated learning aggregation algorithm for pervasive computing: Evaluation and comparison

EK Sannara, F Portet, P Lalanda… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Pervasive computing promotes the installation of connected devices in our living spaces in
order to provide services. Two major developments have gained significant momentum …

Wearable inertial sensors for human movement analysis: a five-year update

P Picerno, M Iosa, C D'Souza… - Expert review of …, 2021 - Taylor & Francis
Introduction The aim of the present review is to track the evolution of wearable IMUs from
their use in supervised laboratory-and ambulatory-based settings to their application for long …

Wearable sensor-based pattern mining for human activity recognition: Deep learning approach

V Bijalwan, VB Semwal, V Gupta - Industrial Robot: the international …, 2022 - emerald.com
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 …

SAMoSA: Sensing activities with motion and subsampled audio

V Mollyn, K Ahuja, D Verma, C Harrison… - Proceedings of the ACM …, 2022 - dl.acm.org
Despite advances in audio-and motion-based human activity recognition (HAR) systems, a
practical, power-efficient, and privacy-sensitive activity recognition system has remained …

A comparative analysis of hybrid deep learning models for human activity recognition

S Abbaspour, F Fotouhi, A Sedaghatbaf, H Fotouhi… - Sensors, 2020 - mdpi.com
Recent advances in artificial intelligence and machine learning (ML) led to effective methods
and tools for analyzing the human behavior. Human Activity Recognition (HAR) is one of the …

Activity recognition for ambient assisted living with videos, inertial units and ambient sensors

CM Ranieri, S MacLeod, M Dragone, PA Vargas… - Sensors, 2021 - mdpi.com
Worldwide demographic projections point to a progressively older population. This fact has
fostered research on Ambient Assisted Living, which includes developments on smart …

Deep learning based fall detection using smartwatches for healthcare applications

G Şengül, M Karakaya, S Misra… - … Signal Processing and …, 2022 - Elsevier
We implement a smart watch-based system to predict fall detection. We differentiate fall
detection from four common daily activities: sitting, squatting, running, and walking …

Deep learning and model personalization in sensor-based human activity recognition

A Ferrari, D Micucci, M Mobilio… - Journal of Reliable …, 2023 - Springer
Human activity recognition (HAR) is a line of research whose goal is to design and develop
automatic techniques for recognizing activities of daily living (ADLs) using signals from …