activity
20192024
most citedLoneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings

5 citations · 10 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SP2024★ 5 cited

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…

eess.SP2024

ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets

Ziyu Wang, Anil Kanduri, Seyed Amir Hossein Aqajari +5

While ECG data is crucial for diagnosing and monitoring heart conditions, it also contains unique biometric information that poses significant privacy risks. Existing ECG re-identi…

cs.LG2024

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…

cs.HC2022★ 1 cited

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…

cs.HC2020★ 4 cited

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…

eess.AS2019

Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition

Salar Jafarlou, Soheil Khorram, Vinay Kothapally +1

Despite significant efforts over the last few years to build a robust automatic speech recognition (ASR) system for different acoustic settings, the performance of the current stat…