[HTML][HTML] A comprehensive review of indoor/outdoor localization solutions in IoT era: Research challenges and future perspectives
SM Asaad, HS Maghdid - Computer Networks, 2022 - Elsevier
The number of connected mobile devices and Internet of Things (IoT) is growing around us,
rapidly. Since most of people's daily activities are relying on these connected things or …
rapidly. Since most of people's daily activities are relying on these connected things or …
A survey of privacy vulnerabilities of mobile device sensors
The number of mobile devices, such as smartphones and smartwatches, is relentlessly
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …
A novel AI-enabled framework to diagnose coronavirus COVID-19 using smartphone embedded sensors: design study
Coronaviruses are a famous family of viruses that cause illness in both humans and
animals. The new type of coronavirus COVID-19 was firstly discovered in Wuhan, China …
animals. The new type of coronavirus COVID-19 was firstly discovered in Wuhan, China …
Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor
A bipedal walking robot is a kind of humanoid robot. It is suppose to mimics human behavior
and designed to perform human specific tasks. Currently, humanoid robots are not capable …
and designed to perform human specific tasks. Currently, humanoid robots are not capable …
Should they? Mobile Biometrics and Technopolicy Meet Queer Community Considerations
Smartphones are integral to our daily lives and activities, providing us with basic functions
like texting and phone calls to more complex motion-based functionalities like navigation …
like texting and phone calls to more complex motion-based functionalities like navigation …
Gender recognition using in-built inertial sensors of smartphone
T Meena, K Sarawadekar - 2020 IEEE REGION 10 …, 2020 - ieeexplore.ieee.org
The research work on user authentication using biometric parameters like face, iris,
fingerprint, and gait, have been vastly carried out over the last few decades. Also, the …
fingerprint, and gait, have been vastly carried out over the last few decades. Also, the …
An extended review concerning the relevance of deep learning and privacy techniques for data-driven soft sensors
The continuously increasing number of mobile devices actively being used in the world
amounted to approximately 6.8 billion by 2022. Consequently, this implies a substantial …
amounted to approximately 6.8 billion by 2022. Consequently, this implies a substantial …
Are we aware? an empirical study on the privacy and security awareness of smartphone sensors
Smartphones are equipped with a wide variety of sensors, which can pose significant
security and privacy risks if not properly protected. To assess the privacy and security risks of …
security and privacy risks if not properly protected. To assess the privacy and security risks of …
Outdoor activity classification using smartphone based inertial sensor measurements
Abstract Human Activity Recognition (HAR) deals with the automatic recognition of physical
activities and plays a crucial role in healthcare and sports where wearable sensors and …
activities and plays a crucial role in healthcare and sports where wearable sensors and …
Gender Detection Based on Gait Data: A Deep Learning Approach With Synthetic Data Generation and Continuous Wavelet Transform
Smart devices equipped with various sensors enable the acquisition of users' behavioral
biometrics. These sensor data capture variations in users' interactions with the devices …
biometrics. These sensor data capture variations in users' interactions with the devices …