Explanipedia

Unveiling overeating patterns within digital longitudinal data on eating behaviors and contexts Open

Farzad Shahabi, Boyang Wei, Christopher Romano, Rowan McCloskey, Annie Lin , et al. · 2025

Overeating contributes to obesity and poses a significant public health threat. The SenseWhy study (2018-2022) monitored 65 individuals with obesity in free-living settings, collecting 2302 meal-level observations (48 per participant), usi…

Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist-worn wearables Open

Boyang Wei, Christopher Romano, Mahdi Pedram, Bonnie Nolan, Whitney Morelli , et al. · 2025

Estimating energy expenditure (EE) in real-world settings is crucial for studying human behavior and energy balance. Despite advances in wrist-worn inertial measurement units (IMU), actigraphy remains the most accepted measure for estimati…

The Role of Eating Time in the Associations Between Hunger, Appetite, Thirst, and Energy Intake Open

Phuong Ngoc Anh Le, Annie Lin, Angela Fidler Pfammatter, Jacob M. Schauer, Shaina J. Alexandria , et al. · 2025

HabitSense: A Privacy-Aware, AI-Enhanced Multimodal Wearable Platform for mHealth Applications Open

Glenn Fernandes, Jiayi Zheng, Mahdi Pedram, Christopher Romano, Farzad Shahabi , et al. · 2024

Wearable cameras provide an objective method to visually confirm and automate the detection of health-risk behaviors such as smoking and overeating, which is critical for developing and testing adaptive treatment interventions. Despite the…

OR09-03-23 Development of an Automated Smartphone App Feature To Accurately Estimate Food Portion Sizes Open

Annie Lin, Kevin Agwomoh, Christopher J. Colvin, Qiuyang Xu, Sougata Sen , et al. · 2023

Detecting Eating, and Social Presence with All Day Wearable RGB-T Open

Soroush Shahi, Sougata Sen, Mahdi Pedram, Rawan Alharbi, Yang Gao , et al. · 2023

Social presence has been known to impact eating behavior among people with obesity; however, the dual study of eating behavior and social presence in real-world settings is challenging due to the inability to reliably confirm the co-occurr…

Experience: Barriers and Opportunities of Wearables for Eating Research Open

Mahdi Pedram, Glenn Fernandes, Christopher Romano, Boyang Wei, Sougata Sen , et al. · 2023

Wearable devices have long held the potential to provide real-time objective measures of behavior. However, due to challenges in real-world deployment, these systems are rarely tested rigorously in free-living settings. To reduce this chal…

Is cartoonized life-vlogging the key to increasing adoption of activity-oriented wearable camera systems? Open

Glenn Fernandes, Helen Zhu, Mahdi Pedram, Jacob M. Schauer, Soroush Shahi , et al. · 2023

Health science researchers studying human behavior rely on wearable cameras to visually confirm behaviors in real-world settings. However, privacy concerns significantly impede their adoption. Lens orientation and activity-oriented cameras…

SmokeMon Open

Rawan Alharbi, Soroush Shahi, Stefany Cruz, Lingfeng Li, Sougata Sen , et al. · 2022

Smoking is the leading cause of preventable death worldwide. Cigarette smoke includes thousands of chemicals that are harmful and cause tobacco-related diseases. To date, the causality between human exposure to specific compounds and the h…

SmartAct: Energy Efficient and Real-Time Hand-to-Mouth Gesture Detection Using Wearable RGB-T Open

Soroush Shahi, Mahdi Pedram, Glenn Fernandes, Nabil Alshurafa · 2022

Researchers have been leveraging wearable cameras to both visually confirm and automatically detect individuals' eating habits. However, energy-intensive tasks such as continuously collecting and storing RGB images in memory, or running al…

An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator Open

Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand , et al. · 2021

Differential evolution (DE) is an effective population-based metaheuristic algorithm for solving complex optimisation problems. However, the performance of DE is sensitive to the mutation operator. In this paper, we propose a novel DE algo…

TransNet Open

Seyed Ali Rokni, Marjan Nourollahi, Parastoo Alinia, Iman Mirzadeh, Mahdi Pedram , et al. · 2020

Wearables are poised to transform health and wellness through automation of cost-effective, objective, and real-time health monitoring. However, machine learning models for these systems are designed based on labeled data collected, and fe…

Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification Open

Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi, Houman Homayoun, Hassan Ghasemzadeh · 2019

Advances in embedded systems have enabled integration of many lightweight sensory devices within our daily life. In particular, this trend has given rise to continuous expansion of wearable sensors in a broad range of applications from hea…

Resource-Efficient Computing in Wearable Systems Open

Mahdi Pedram, Mahsan Rofouei, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh · 2019

We propose two optimization techniques to minimize memory usage and computation while meeting system timing constraints for real-time classification in wearable systems. Our method derives a hierarchical classifier structure for Support Ve…

Resource-Efficient Computing in Wearable Systems Open

Mahdi Pedram, Mahsan Rofouei, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh · 2019

We propose two optimization techniques to minimize memory usage and computation while meeting system timing constraints for real-time classification in wearable systems. Our method derives a hierarchical classifier structure for Support Ve…

Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification Open

Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi, Houman Homayoun, Hassan Ghasemzadeh · 2019

Advances in embedded systems have enabled integration of many lightweight sensory devices within our daily life. In particular, this trend has given rise to continuous expansion of wearable sensors in a broad range of applications from hea…

Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition Open

Josué Pagán, Ramin Fallahzadeh, Mahdi Pedram, José L. Risco-Martı́n, José M. Moya , et al. · 2018

Activity recognition, as an important component of behavioral monitoring and\nintervention, has attracted enormous attention, especially in Mobile Cloud\nComputing (MCC) and Remote Health Monitoring (RHM) paradigms. While recently\nresourc…

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