Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

HF Nweke, YW Teh, MA Al-Garadi, UR Alo - Expert Systems with …, 2018 - Elsevier
Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …

Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions

HF Nweke, YW Teh, G Mujtaba, MA Al-Garadi - Information Fusion, 2019 - Elsevier
Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

An edge-based architecture to support efficient applications for healthcare industry 4.0

P Pace, G Aloi, R Gravina, G Caliciuri… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Edge computing paradigm has attracted many interests in the last few years as a valid
alternative to the standard cloud-based approaches to reduce the interaction timing and the …

A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems

L Qi, Y Chen, Y Yuan, S Fu, X Zhang, X Xu - World Wide Web, 2020 - Springer
Nowadays, with the development of cyber-physical systems (CPS), there are an increasing
amount of applications deployed in the CPS to connect cyber space with physical world …

A novel IoT-perceptive human activity recognition (HAR) approach using multihead convolutional attention

H Zhang, Z Xiao, J Wang, F Li… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Together with the fast advancement of the Internet of Things (IoT), smart healthcare
applications and systems are equipped with increasingly more wearable sensors and …

The state-of-the-art wireless body area sensor networks: A survey

RA Khan, ASK Pathan - International Journal of Distributed …, 2018 - journals.sagepub.com
Wireless body area sensor network is a sub-field of wireless sensor network. Wireless body
area sensor network has come into existence after the development of wireless sensor …

Multi-user activity recognition: Challenges and opportunities

Q Li, R Gravina, Y Li, SH Alsamhi, F Sun, G Fortino - Information Fusion, 2020 - Elsevier
Human activity recognition has attracted enormous research interest thanks to its
fundamental importance in several domains spanning from health-care to security, safety …

[HTML][HTML] Comprehensive systematic review of information fusion methods in smart cities and urban environments

MA Fadhel, AM Duhaim, A Saihood, A Sewify… - Information …, 2024 - Elsevier
Smart cities result from integrating advanced technologies and intelligent sensors into
modern urban infrastructure. The Internet of Things (IoT) and data integration are pivotal in …

Cost-efficient resource provisioning for dynamic requests in cloud assisted mobile edge computing

X Ma, S Wang, S Zhang, P Yang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Mobile edge computing is emerging as a new computing paradigm that provides enhanced
experience to mobile users via low latency connections and augmented computation …

A survey of IoT-based fall detection for aiding elderly care: Sensors, methods, challenges and future trends

ME Karar, HI Shehata, O Reyad - Applied Sciences, 2022 - mdpi.com
Remote monitoring of a fall condition or activities and daily life (ADL) of elderly patients has
become one of the essential purposes for modern telemedicine. Internet of Things (IoT) and …