Ali Akbari
Orcid: 0000-0003-1387-1174
According to our database1,
Ali Akbari
authored at least 20 papers
between 2017 and 2024.
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Bibliography
2024
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error.
ACM Trans. Comput. Heal., January, 2024
2022
A Meta-Learning Approach for Fast Personalization of Modality Translation Models in Wearable Physiological Sensing.
IEEE J. Biomed. Health Informatics, 2022
2021
Facilitating Human Activity Data Annotation via Context-Aware Change Detection on Smartwatches.
ACM Trans. Embed. Comput. Syst., 2021
Data-driven Context Detection Leveraging Passively Sensed Nearables for Recognizing Complex Activities of Daily Living.
ACM Trans. Comput. Heal., 2021
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021
A Graph-based Method for Interbeat Interval and Heart Rate Variability Estimation Featuring Multichannel PPG Signals During Intensive Activity.
Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021
Design, Characterization, and Control of a Size Adaptable In-pipe Robot for Water Distribution Systems.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021
2020
Using Intelligent Personal Annotations to Improve Human Activity Recognition for Movements in Natural Environments.
IEEE J. Biomed. Health Informatics, 2020
Personalizing Activity Recognition Models Through Quantifying Different Types of Uncertainty Using Wearable Sensors.
IEEE Trans. Biomed. Eng., 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Transferring activity recognition models for new wearable sensors with deep generative domain adaptation.
Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019
A human-centered wearable sensing platform with intelligent automated data annotation capabilities.
Proceedings of the International Conference on Internet of Things Design and Implementation, 2019
Tagging wearable accelerometers in camera frames through information translation between vision sensors and accelerometers.
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 2019
An Autoencoder-based Approach for Recognizing Null Class in Activities of Daily Living In-the-wild via Wearable Motion Sensors.
Proceedings of the IEEE International Conference on Acoustics, 2019
A Deep Learning Assisted Method for Measuring Uncertainty in Activity Recognition with Wearable Sensors.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
A Decision Level Fusion and Signal Analysis Technique for Activity Segmentation and Recognition on Smart Phones.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
Hierarchical Signal Segmentation and Classification for Accurate Activity Recognition.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
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.
Proceedings of the 26th International Conference on Computer Communication and Networks, 2017
Automatic noise estimation and context-enhanced data fusion of IMU and Kinect for human motion measurement.
Proceedings of the 14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2017
A novel method for pulse transit time estimation using wrist bio-impedance sensing based on a regression model.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017