Dealing with inaccurate sensor data in the context of mobile crowdsensing and mhealth

R Kraft, F Hofmann, M Reichert… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The technological capabilities and ubiquity of smart mobile devices favor the combined
utilization of Ecological Momentary Assessments (EMA) and Mobile Crowdsensing (MCS) …

AUDIT: anomalous data detection and Isolation approach for mobile healThcare systems

L Ben Amor, I Lahyani, M Jmaiel - Expert Systems, 2020 - Wiley Online Library
Mobile health care systems highly depend on collected physiological data through medical
sensors to provide high‐quality care services. However, inaccurate physiological data from …

Accuracy of Video-Based Hand Tracking for People with Upper-Body Disabilities

AA Portnova-Fahreeva, M Yamagami… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
Utilization of hand-tracking cameras, such as Leap, for hand rehabilitation and functional
assessments is an innovative approach to providing affordable alternatives for people with …

Real-time spatio-temporal based outlier detection framework for wireless body sensor networks

A Haj-Hassan, C Habib, J Nassar - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Wireless body sensor networks (WBSNs) are threatened by many issues like anomalies in
collected data and failure in their hardware components. An outlier detection approach …

Machine Learning-Based Detection of Depression Symptoms With Smartphones and Consumer Wearable Devices

S Akre - 2024 - search.proquest.com
Consumer wearable devices and smartphones are ubiquitous and generate valuable health-
related data that remain underexplored. These data have the potential to enhance our …

[PDF][PDF] Time series anomaly detection methods for smartphone sensor-based mental

R Tikkanen - 2021 - users.aalto.fi
Wearable health-monitoring systems are becoming increasingly popular as many diseases
including mental disorders can be avoided and properly managed through continuous …