Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges

S Qiu, H Zhao, N Jiang, Z Wang, L Liu, Y An, H Zhao… - Information …, 2022‏ - Elsevier
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …

Internet of things for smart healthcare: Technologies, challenges, and opportunities

SB Baker, W **ang, I Atkinson - Ieee Access, 2017‏ - ieeexplore.ieee.org
Internet of Things (IoT) technology has attracted much attention in recent years for its
potential to alleviate the strain on healthcare systems caused by an aging population and a …

Sensing with earables: A systematic literature review and taxonomy of phenomena

T Röddiger, C Clarke, P Breitling… - Proceedings of the …, 2022‏ - dl.acm.org
Earables have emerged as a unique platform for ubiquitous computing by augmenting ear-
worn devices with state-of-the-art sensing. This new platform has spurred a wealth of new …

Ultralow-power photoplethysmography (PPG) sensors: A methodological review

Z Ebrahimi, B Gosselin - IEEE Sensors Journal, 2023‏ - ieeexplore.ieee.org
Photoplethysmography (PPG) sensors are used to accurately, instantaneously, and
noninvasively measure vital signs to provide a real-time indication of overall physical health …

Active electrodes for wearable EEG acquisition: Review and electronics design methodology

J Xu, S Mitra, C Van Hoof, RF Yazicioglu… - IEEE reviews in …, 2017‏ - ieeexplore.ieee.org
Active electrodes (AEs), ie, electrodes with built-in readout circuitry, are increasingly being
implemented in wearable healthcare and lifestyle applications due to AEs' robustness to …

Review of stress detection methods using wearable sensors

G Taskasaplidis, DA Fotiadis, P Bamidis - IEEE Access, 2024‏ - ieeexplore.ieee.org
Stress is a significant factor that affects well-being and health. Factors that trigger stress
include work, social interactions, and economic and environmental factors. Stress may …

A low-noise chopper amplifier designed for multi-channel neural signal acquisition

D Luo, M Zhang, Z Wang - IEEE Journal of Solid-State Circuits, 2019‏ - ieeexplore.ieee.org
This paper proposed the design of a low-noise, low total harmonic distortion (THD) chopper
amplifier for neural signal acquisition. A dc servo loop (DSL) based on active Gm-C …

Interpretable and robust ai in eeg systems: A survey

X Zhou, C Liu, Z Wang, L Zhai, Z Jia, C Guan… - arxiv preprint arxiv …, 2023‏ - arxiv.org
The close coupling of artificial intelligence (AI) and electroencephalography (EEG) has
substantially advanced human-computer interaction (HCI) technologies in the AI era …

A review on human healthcare internet of things: a technical perspective

GS Karthick, PB Pankajavalli - SN Computer Science, 2020‏ - Springer
Abstract The Internet of Things (IoT) is a promising technology which interconnects the
available resources to offer reliable and effective smart objects. The smart objects act as a …

Wearable multiple modality bio-signal recording and processing on chip: A review

Q Lin, S Song, ID Castro, H Jiang… - IEEE Sensors …, 2020‏ - ieeexplore.ieee.org
Remote home monitoring via wearables is rapidly gaining popularity, thanks to ever more
complex vital signs recording and data analytics that are embedded into single devices …