51 citations · 68 across the 8 of their papers we have counts for
8 papers
Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition
J. Pagan, R. Fallahzadeh, M. Pedram +4
Activity recognition, as an important component of behavioral monitoring and intervention, has attracted enormous attention, especially in Mobile Cloud Computing (MCC) and Remote H…
The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints
Parker Seegmiller, Joseph Gatto, Madhusudan Basak +4
Medications often impose temporal constraints on everyday patient activity. Violations of such medical temporal constraints (MTCs) lead to a lack of treatment adherence, in additio…
ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence
Parker Seegmiller, Joseph Gatto, Abdullah Mamun +4
Prescription medications often impose temporal constraints on regular health behaviors (RHBs) of patients, e.g., eating before taking medication. Violations of such medical tempora…
ADARP: A Multi Modal Dataset for Stress and Alcohol Relapse Quantification in Real Life Setting
Ramesh Kumar Sah, Michael McDonell, Patricia Pendry +3
Stress detection and classification from wearable sensor data is an emerging area of research with significant implications for individuals' physical and mental health. In this wor…
Stress Classification and Personalization: Getting the most out of the least
Ramesh Kumar Sah, Hassan Ghasemzadeh
Stress detection and monitoring is an active area of research with important implications for the personal, professional, and social health of an individual. Current approaches for…
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error
Asiful Arefeen, Ali Akbari, Seyed Iman Mirzadeh +3
Inter-beat interval (IBI) measurement enables estimation of heart-rate variability (HRV) which, in turns, can provide early indication of potential cardiovascular diseases. However…
Mindful Active Learning
Zhila Esna Ashari, Hassan Ghasemzadeh
We propose a novel active learning framework for activity recognition using wearable sensors. Our work is unique in that it takes physical and cognitive limitations of the oracle i…
Personalized Human Activity Recognition Using Convolutional Neural Networks
Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh
A major barrier to the personalized Human Activity Recognition using wearable sensors is that the performance of the recognition model drops significantly upon adoption of the syst…