Human activity recognition using inertial sensors in a smartphone: An overview

W Sousa Lima, E Souto, K El-Khatib, R Jalali, J Gama - Sensors, 2019 - mdpi.com
The ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …

[PDF][PDF] Human activity recognition using smartwatch and smartphone: A review on methods, applications, and challenges

RA Lateef, AR Abbas - Iraqi Journal of Science, 2022 - iasj.net
Abstract Recently, Human Activity Recognition (HAR) has been a popular research field due
to wide spread of sensor devices. Embedded sensors in smartwatch and smartphone …

[HTML][HTML] 1D Convolution approach to human activity recognition using sensor data and comparison with machine learning algorithms

K Muralidharan, A Ramesh, G Rithvik, S Prem… - International Journal of …, 2021 - Elsevier
Abstract Human Activity Recognition (HAR) has emerged as a major player in this era of
cutting-edge technological advancement. A key role that HAR plays is its ability to remotely …

Smartphone-based indoor positioning technologies

R Chen, L Chen - Urban informatics, 2021 - Springer
Abstract Global Navigation Satellite Systems (GNSS) have achieved great success in
providing localization information in outdoor open areas. However, due to the weakness of …

Context-aware personal navigation using embedded sensor fusion in smartphones

S Saeedi, A Moussa, N El-Sheimy - Sensors, 2014 - mdpi.com
Context-awareness is an interesting topic in mobile navigation scenarios where the context
of the application is highly dynamic. Using context-aware computing, navigation services …

Context-aware obstacle detection for navigation by visually impaired

P Gharani, HA Karimi - Image and Vision Computing, 2017 - Elsevier
This paper presents a context-aware smartphone-based based visual obstacle detection
approach to aid visually impaired people in navigating indoor environments. The approach …

A novel energy-efficient approach for human activity recognition

L Zheng, D Wu, X Ruan, S Weng, A Peng, B Tang, H Lu… - Sensors, 2017 - mdpi.com
In this paper, we propose a novel energy-efficient approach for mobile activity recognition
system (ARS) to detect human activities. The proposed energy-efficient ARS, using low …

Location-Enabled IoT (LE-IoT): A survey of positioning techniques, error sources, and mitigation

Y Li, Y Zhuang, X Hu, Z Gao, J Hu, L Chen, Z He… - arXiv preprint arXiv …, 2020 - arxiv.org
The Internet of Things (IoT) has started to empower the future of many industrial and mass-
market applications. Localization techniques are becoming key to add location context to IoT …

Deep-Learning-Based Context-Aware Multi-Level Information Fusion Systems for Indoor Mobile Robots Safe Navigation

Y Jia, B Ramalingam, RE Mohan, Z Yang, Z Zeng… - Sensors, 2023 - mdpi.com
Hazardous object detection (escalators, stairs, glass doors, etc.) and avoidance are critical
functional safety modules for autonomous mobile cleaning robots. Conventional object …

[PDF][PDF] Integration of MEMS sensors, WiFi, and magnetic features for indoor pedestrian navigation with consumer portable devices

Y Li - University of Calgary, 2016 - researchgate.net
Mobile location based services (LBS) is attracting the public attention due to their potential
applications in a wide range of personalized services from emergency responders to …