Matthew P. Buman
Orcid: 0000-0002-5130-3162
According to our database1,
Matthew P. Buman
authored at least 22 papers
between 2013 and 2023.
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Bibliography
2023
Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data.
IEEE Trans. Instrum. Meas., 2023
2022
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data.
IEEE Internet Things J., 2022
Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design.
Proceedings of the IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
2020
Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions.
IEEE Trans. Control. Syst. Technol., 2020
New Investment of Innovative Design of the Future Workstation: Advancing Sedentary Work Behavior.
Proceedings of the Human Interaction, Emerging Technologies and Future Applications III, 2020
Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Advances in Artificial Intelligence, Software and Systems Engineering, 2020
2018
Identifying Free-Living Physical Activities Using Lab-Based Models with Wearable Accelerometers.
Sensors, 2018
Modeling individual differences: A case study of the application of system identification for personalizing a physical activity intervention.
J. Biomed. Informatics, 2018
Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
2017
Self-Experimentation for Behavior Change: Design and Formative Evaluation of Two Approaches.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017
Statistical Analysis of Window Sizes and Sampling Rates in Human Activity Recognition.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017
2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Comparing Gaussian Mixture Model and Hidden Markov Model to Classify Unique Physical Activities from Accelerometer Sensor Data.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016
A statistical estimation framework for energy expenditure of physical activities from a wrist-worn accelerometer.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Learning approach for classification of GENEActiv accelerometer data for unique activity identification.
Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016
2015
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015
2014
Proceedings of the American Control Conference, 2014
2013
Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013