A systematic review of smartphone-based human activity recognition methods for health research

M Straczkiewicz, P James, JP Onnela - NPJ Digital Medicine, 2021 - nature.com
Smartphones are now nearly ubiquitous; their numerous built-in sensors enable continuous
measurement of activities of daily living, making them especially well-suited for health …

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 …

Wearable sensor‐based human activity recognition in the smart healthcare system

F Serpush, MB Menhaj, B Masoumi… - Computational …, 2022 - Wiley Online Library
Human activity recognition (HAR) has been of interest in recent years due to the growing
demands in many areas. Applications of HAR include healthcare systems to monitor …

[HTML][HTML] An international physical activity and public health research agenda to inform coronavirus disease-2019 policies and practices

JF Sallis, D Adlakha, A Oyeyemi, D Salvo - Journal of sport and health …, 2020 - Elsevier
Physical activity (PA) has strong relevance for limiting the harms to human health and well-
being due to the coronavirus disease-2019 (COVID-19) pandemic. 1 Active muscles …

Machine learning methods in smart lighting toward achieving user comfort: A survey

AG Putrada, M Abdurohman, D Perdana… - IEEE access, 2022 - ieeexplore.ieee.org
Smart lighting has become a universal smart product solution, with global revenues of up to
US 5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) …

Human activity recognition in IoHT applications using arithmetic optimization algorithm and deep learning

A Dahou, MAA Al-qaness, M Abd Elaziz, A Helmi - Measurement, 2022 - Elsevier
Nowadays, people use smart devices everywhere and for different applications such as
healthcare. The Internet of Healthcare Things (IoHT) generates enormous amounts of data …

A public domain dataset for real-life human activity recognition using smartphone sensors

D Garcia-Gonzalez, D Rivero, E Fernandez-Blanco… - Sensors, 2020 - mdpi.com
In recent years, human activity recognition has become a hot topic inside the scientific
community. The reason to be under the spotlight is its direct application in multiple domains …

[HTML][HTML] Human activity recognition with smartphone-integrated sensors: A survey

V Dentamaro, V Gattulli, D Impedovo… - Expert Systems with …, 2024 - Elsevier
Abstract Human Activity Recognition (HAR) is an essential area of research related to the
ability of smartphones to retrieve information through embedded sensors and recognize the …

Convae-lstm: Convolutional autoencoder long short-term memory network for smartphone-based human activity recognition

D Thakur, S Biswas, ESL Ho, S Chattopadhyay - IEEE Access, 2022 - ieeexplore.ieee.org
The self-regulated recognition of human activities from time-series smartphone sensor data
is a growing research area in smart and intelligent health care. Deep learning (DL) …

Alphalogger: Detecting motion-based side-channel attack using smartphone keystrokes

AR Javed, MO Beg, M Asim, T Baker… - Journal of Ambient …, 2023 - Springer
Due to the advancement in technologies and excessive usability of smartphones in various
domains (eg, mobile banking), smartphones became more prone to malicious attacks …