Human activity recognition using inertial sensors in a smartphone: An overview
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 …
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
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 …
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 …
cutting-edge technological advancement. A key role that HAR plays is its ability to remotely …
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 …
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 …
approach to aid visually impaired people in navigating indoor environments. The approach …
A novel energy-efficient approach for human activity recognition
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 …
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
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 …
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
Hazardous object detection (escalators, stairs, glass doors, etc.) and avoidance are critical
functional safety modules for autonomous mobile cleaning robots. Conventional object …
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 …
applications in a wide range of personalized services from emergency responders to …