Internet of things: architectures, protocols, and applications

P Sethi, SR Sarangi - Journal of electrical and computer …, 2017 - Wiley Online Library
The Internet of Things (IoT) is defined as a paradigm in which objects equipped with
sensors, actuators, and processors communicate with each other to serve a meaningful …

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 …

Advanced IoT-based human activity recognition and localization using Deep Polynomial neural network

D Khan, A Alshahrani, A Almjally, N Al Mudawi… - Ieee …, 2024 - ieeexplore.ieee.org
Advancements in smartphone sensor technologies have significantly enriched the field of
human activity recognition, facilitating a wide array of applications from health monitoring to …

A survey on fusion-based indoor positioning

X Guo, N Ansari, F Hu, Y Shao… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Demands for indoor positioning based services (IPS) in commercial and military fields have
spurred many positioning systems and techniques. Complex electromagnetic environments …

Applying mobile phone data to travel behaviour research: A literature review

Z Wang, SY He, Y Leung - Travel Behaviour and Society, 2018 - Elsevier
Travel behaviour has been studied for decades to guide transportation development and
management, with the support of traditional data collected by travel surveys. Recently, with …

Deep learning based inference of private information using embedded sensors in smart devices

Y Liang, Z Cai, J Yu, Q Han, Y Li - IEEE Network, 2018 - ieeexplore.ieee.org
Smart mobile devices and mobile apps have been rolling out at swift speeds over the last
decade, turning these devices into convenient and general-purpose computing platforms …

Fusion of WiFi, smartphone sensors and landmarks using the Kalman filter for indoor localization

Z Chen, H Zou, H Jiang, Q Zhu, YC Soh, L **e - Sensors, 2015 - mdpi.com
Location-based services (LBS) have attracted a great deal of attention recently. Outdoor
localization can be solved by the GPS technique, but how to accurately and efficiently …

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 …

Attention-based convolutional neural network for weakly labeled human activities' recognition with wearable sensors

K Wang, J He, L Zhang - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Traditional methods of human activity recognition usually require a large amount of strictly
labeled data for training classifiers. However, it is hard for one to keep a fixed activity when …

Analyzing the effectiveness and contribution of each axis of tri-axial accelerometer sensor for accurate activity recognition

AR Javed, MU Sarwar, S Khan, C Iwendi, M Mittal… - Sensors, 2020 - mdpi.com
Recognizing human physical activities from streaming smartphone sensor readings is
essential for the successful realization of a smart environment. Physical activity recognition …