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 …

Smartphone sensors for health monitoring and diagnosis

S Majumder, MJ Deen - Sensors, 2019 - mdpi.com
Over the past few decades, we have witnessed a dramatic rise in life expectancy owing to
significant advances in medical science and technology, medicine as well as increased …

Human activity recognition: Review, taxonomy and open challenges

MH Arshad, M Bilal, A Gani - Sensors, 2022 - mdpi.com
Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains,
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …

Applications of artificial intelligence and big data analytics in m‐health: A healthcare system perspective

ZF Khan, SR Alotaibi - Journal of healthcare engineering, 2020 - Wiley Online Library
Mobile health (m‐health) is the term of monitoring the health using mobile phones and
patient monitoring devices etc. It has been often deemed as the substantial breakthrough in …

InnoHAR: A deep neural network for complex human activity recognition

C Xu, D Chai, J He, X Zhang, S Duan - Ieee Access, 2019 - ieeexplore.ieee.org
Human activity recognition (HAR) based on sensor networks is an important research
direction in the fields of pervasive computing and body area network. Existing researches …

A collaborative healthcare framework for shared healthcare plan with ambient intelligence

AR Javed, MU Sarwar, MO Beg, M Asim… - … -centric Computing and …, 2020 - Springer
The fast propagation of the Internet of Things (IoT) devices has driven to the development of
collaborative healthcare frameworks to support the next generation healthcare industry for …

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 …

Noninvasive human activity recognition using millimeter-wave radar

C Yu, Z Xu, K Yan, YR Chien, SH Fang… - IEEE Systems …, 2022 - ieeexplore.ieee.org
The millimeter-wave (mmWave) radar technology has attracted significant attention because
it is susceptible to environmental lighting, wall shielding, and privacy concern. This article …

Power consumption analysis, measurement, management, and issues: A state-of-the-art review of smartphone battery and energy usage

PKD Pramanik, N Sinhababu, B Mukherjee… - ieee …, 2019 - ieeexplore.ieee.org
The advancement and popularity of smartphones have made it an essential and all-purpose
device. But lack of advancement in battery technology has held back its optimum potential …