A novel method for pulse transit time estimation using wrist bio-impedance sensing based on a regression model. - Bassem Ibrahim; Ali Akbari 002; Roozbeh Jafari (BioCAS, 2017)

Automatic noise estimation and context-enhanced data fusion of IMU and Kinect for human motion measurement. - Ali Akbari 002; Xien Thomas; Roozbeh Jafari (BSN, 2017)

Validation of a New Model-Free Signal Processing Method for Gait Feature Extraction Using Inertial Measurement Units to Diagnose and Quantify the Severity of Parkinson's Disease. - Ali Akbari 002; Richard B. Dewey; Roozbeh Jafari (ICCCN, 2017)

Hierarchical Signal Segmentation and Classification for Accurate Activity Recognition. - Ali Akbari 002; Jian Wu 016; Reese Grimsley; Roozbeh Jafari (UbiComp/ISWC Adjunct, 2018)

A Decision Level Fusion and Signal Analysis Technique for Activity Segmentation and Recognition on Smart Phones. - Jian Wu 016; Ali Akbari 002; Reese Grimsley; Roozbeh Jafari (UbiComp/ISWC Adjunct, 2018)

A Deep Learning Assisted Method for Measuring Uncertainty in Activity Recognition with Wearable Sensors. - Ali Akbari 002; Roozbeh Jafari (BHI, 2019)

An Autoencoder-based Approach for Recognizing Null Class in Activities of Daily Living In-the-wild via Wearable Motion Sensors. - Ali Akbari 002; Roozbeh Jafari (ICASSP, 2019)

Tagging wearable accelerometers in camera frames through information translation between vision sensors and accelerometers. - Ali Akbari 002; Peiming Liu; Bobak J. Mortazavi; Roozbeh Jafari (ICCPS, 2019)

A human-centered wearable sensing platform with intelligent automated data annotation capabilities. - Roger Solis; Arash Pakbin; Ali Akbari 002; Bobak J. Mortazavi; Roozbeh Jafari (IoTDI, 2019)

Transferring activity recognition models for new wearable sensors with deep generative domain adaptation. - Ali Akbari 002; Roozbeh Jafari (IPSN, 2019)

Strategic Attention Learning for Modality Translation. - Jonathan Martinez; Ali Akbari 002; Kaan Sel; Roozbeh Jafari (ICASSP, 2020)

Personalizing Activity Recognition Models Through Quantifying Different Types of Uncertainty Using Wearable Sensors. - Ali Akbari 002; Roozbeh Jafari (IEEE Trans. Biomed. Eng., 2020)

Using Intelligent Personal Annotations to Improve Human Activity Recognition for Movements in Natural Environments. - Ali Akbari 002; Roger Solis Castilla; Roozbeh Jafari; Bobak J. Mortazavi (IEEE J. Biomed. Health Informatics, 2020)

Design, Characterization, and Control of a Size Adaptable In-pipe Robot for Water Distribution Systems. - Saber Kazeminasab; Ali Akbari 002; Roozbeh Jafari; M. Katherine Banks (ICIT, 2021)

A Graph-based Method for Interbeat Interval and Heart Rate Variability Estimation Featuring Multichannel PPG Signals During Intensive Activity. - Luffina C. Huang; Ali Akbari 002; Roozbeh Jafari (IEEE SENSORS, 2021)

Power-Aware Heart Rate Monitoring using Particle Filters. - Ali Akbari 002; Roozbeh Jafari (ISLPED, 2021)

Data-driven Context Detection Leveraging Passively Sensed Nearables for Recognizing Complex Activities of Daily Living. - Ali Akbari 002; Reese Grimsley; Roozbeh Jafari (ACM Trans. Comput. Heal., 2021)

Facilitating Human Activity Data Annotation via Context-Aware Change Detection on Smartwatches. - Ali Akbari 002; Jonathan Martinez; Roozbeh Jafari (ACM Trans. Embed. Comput. Syst., 2021)

A Meta-Learning Approach for Fast Personalization of Modality Translation Models in Wearable Physiological Sensing. - Ali Akbari 002; Jonathan Martinez; Roozbeh Jafari (IEEE J. Biomed. Health Informatics, 2022)

Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error. - Asiful Arefeen; Ali Akbari 002; Seyed-Iman Mirzadeh; Roozbeh Jafari; Behrooz A. Shirazi; Hassan Ghasemzadeh 001 (ACM Trans. Comput. Heal., 2024)