52 citations · 107 across the 15 of their papers we have counts for
16 papers
Understanding State Social Anxiety in Virtual Social Interactions using Multimodal Wearable Sensing Indicators
Maria A. Larrazabal, Zhiyuan Wang, Mark Rucker +4
Mobile sensing is ubiquitous and offers opportunities to gain insight into state mental health functioning. Detecting state elevations in social anxiety would be especially useful…
AudioInsight: Detecting Social Contexts Relevant to Social Anxiety from Speech
Varun Reddy, Zhiyuan Wang, Emma Toner +4
During social interactions, understanding the intricacies of the context can be vital, particularly for socially anxious individuals. While previous research has found that the pre…
CommSense: A Wearable Sensing Computational Framework for Evaluating Patient-Clinician Interactions
Zhiyuan Wang, Nusayer Hassan, Virginia LeBaron +6
Quality patient-provider communication is critical to improve clinical care and patient outcomes. While progress has been made with communication skills training for clinicians, si…
Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing
Guimin Dong, Lihua Cai, Mingyue Tang +2
Mobile sensing appears as a promising solution for health inference problem (e.g., influenza-like symptom recognition) by leveraging diverse smart sensors to capture fine-grained i…
Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline
Zhiyuan Wang, Mingyue Tang, Maria A. Larrazabal +6
Individuals high in social anxiety symptoms often exhibit elevated state anxiety in social situations. Research has shown it is possible to detect state anxiety by leveraging digit…
Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts
Emma R. Toner, Mark Rucker, Zhiyuan Wang +8
Correctly identifying an individual's social context from passively worn sensors holds promise for delivering just-in-time adaptive interventions (JITAIs) to treat social anxiety d…
Graph Neural Networks in IoT: A Survey
Guimin Dong, Mingyue Tang, Zhiyuan Wang +7
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily lives: healthcare, home, transportation, manufacturing, supply chain, and so on. With the…
Using Ballistocardiography for Sleep Stage Classification
Jiebei Liu, Peter Morris, Krista Nelson +1
A practical way of detecting sleep stages has become more necessary as we begin to learn about the vast effects that sleep has on people's lives. The current methods of sleep stage…
Voice-Based Conversational Agents for self-reporting fluid consumption and sleep quality
Abdalsalam Almzayyen, Angel Vela de la Garza Evia, Nick Coronato +1
Intelligent conversational agents and virtual assistants, such as chatbots and voice assistants, have the potential of augmenting health service capacity to screen symptoms and del…
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques
Zhiyuan Wang, Haoyi Xiong, Jie Zhang +5
Mobile Sensing Apps have been widely used as a practical approach to collect behavioral and health-related information from individuals and provide timely intervention to promote h…
Driver State and Behavior Detection Through Smart Wearables
Arash Tavakoli, Shashwat Kumar, Mehdi Boukhechba +1
Integrating driver, in-cabin, and outside environment's contextual cues into the vehicle's decision making is the centerpiece of semi-automated vehicle safety. Multiple systems hav…
Collision Prediction and Prevention in Contact Sports Using RFID tags and Haptic Feedback
Moeen Mostafavi, Fateme Nikseresht, Jacob Earl Resch +2
American football is a leading sport for contact-related injuries such as cervical spine injuries, some of which result from an unforeseen hit. The use of a feedback mechanism to a…
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients
Jinghe Zhang, Kamran Kowsari, Mehdi Boukhechba +3
Chronic kidney disease (CKD) is a gradual loss of renal function over time, and it increases the risk of mortality, decreased quality of life, as well as serious complications. The…
Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation
Mawulolo K. Ameko, Miranda L. Beltzer, Lihua Cai +3
Delivering treatment recommendations via pervasive electronic devices such as mobile phones has the potential to be a viable and scalable treatment medium for long-term health beha…
Enabling Smartphone-based Estimation of Heart Rate
Nutta Homdee, Mehdi Boukhechba, Yixue W. Feng +3
Continuous, ubiquitous monitoring through wearable sensors has the potential to collect useful information about users' context. Heart rate is an important physiologic measure used…
Cluster-based Approach to Improve Affect Recognition from Passively Sensed Data
Mawulolo K. Ameko, Lihua Cai, Mehdi Boukhechba +5
Negative affect is a proxy for mental health in adults. By being able to predict participants' negative affect states unobtrusively, researchers and clinicians will be better posit…