40 citations · 65 across the 9 of their papers we have counts for
10 papers
Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings
Zhongqi Yang, Iman Azimi, Salar Jafarlou +7
The adverse effects of loneliness on both physical and mental well-being are profound. Although previous research has utilized mobile sensing techniques to detect mental health iss…
Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach
Seyed Amir Hossein Aqajari, Ziyu Wang, Ali Tazarv +6
In today's fast-paced world, accurately monitoring stress levels is crucial. Sensor-based stress monitoring systems often need large datasets for training effective models. However…
Context-Aware Stress Monitoring using Wearable and Mobile Technologies in Everyday Settings
Seyed Amir Hossein Aqajari, Sina Labbaf, Phuc Hoang Tran +5
Daily monitoring of stress is a critical component of maintaining optimal physical and mental health. Physiological signals and contextual information have recently emerged as prom…
ZotCare: A Flexible, Personalizable, and Affordable mHealth Service Provider
Sina Labbaf, Mahyar Abbasian, Iman Azimi +2
The proliferation of Internet-connected health devices and the widespread availability of mobile connectivity have resulted in a wealth of reliable digital health data and the pote…
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings
Ali Tazarv, Sina Labbaf, Amir Rahmani +2
Most existing sensor-based monitoring frameworks presume that a large available labeled dataset is processed to train accurate detection models. However, in settings where personal…
Objective Prediction of Tomorrow's Affect Using Multi-Modal Physiological Data and Personal Chronicles: A Study of Monitoring College Student Well-being in 2020
Salar Jafarlou, Jocelyn Lai, Zahra Mousavi +5
Monitoring and understanding affective states are important aspects of healthy functioning and treatment of mood-based disorders. Recent advancements of ubiquitous wearable technol…
Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement
Ali Tazarv, Sina Labbaf, Amir M. Rahmani +2
Real-time physiological data collection and analysis play a central role in modern well-being applications. Personalized classifiers and detectors have been shown to outperform gen…
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings
Ali Tazarv, Sina Labbaf, Stephanie M. Reich +3
Since stress contributes to a broad range of mental and physical health problems, the objective assessment of stress is essential for behavioral and physiological studies. Although…
Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being
Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou +8
Traditionally, the regime of mental healthcare has followed an episodic psychotherapy model wherein patients seek care from a provider through a prescribed treatment plan developed…
GSR Analysis for Stress: Development and Validation of an Open Source Tool for Noisy Naturalistic GSR Data
Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Milad Asgari Mehrabadi +3
The stress detection problem is receiving great attention in related research communities. This is due to its essential part in behavioral studies for many serious health problems…