Matthew P. Buman

According to our database, Matthew P. Buman authored at least 25 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Uncertainty-Aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data.

Eun Som Jeon, Matthew P. Buman, Pavan K. Turaga

IEEE Internet Things J., September, 2024

Topological persistence guided knowledge distillation for wearable sensor data.

Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga

Eng. Appl. Artif. Intell., 2024

Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions.

Abdullah Mamun, Krista S. Leonard, Megan E. Petrov, Matthew P. Buman, Hassan Ghasemzadeh

CoRR, 2024

2023

Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data.

Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga

IEEE Trans. Instrum. Meas., 2023

2022

Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data.

Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga

IEEE Internet Things J., 2022

Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design.

Abdullah Mamun, Krista S. Leonard, Matthew P. Buman, Hassan Ghasemzadeh

Proceedings of the IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, 2022

Topological Knowledge Distillation for Wearable Sensor Data.

Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga

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.

César A. Martín, Daniel E. Rivera, Eric B. Hekler, William T. Riley, Matthew P. Buman, Marc A. Adams, Alicia B. Magann

IEEE Trans. Control. Syst. Technol., 2020

New Investment of Innovative Design of the Future Workstation: Advancing Sedentary Work Behavior.

Dosun Shin, Matthew P. Buman, Pavan K. Turaga, Assegid Kidané, Todd Ingalls

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.

Anirudh Som, Narayanan Krishnamurthi, Matthew P. Buman, Pavan K. Turaga

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

PI-Net: A Deep Learning Approach to Extract Topological Persistence Images.

Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Design of the Future Workstation: Enhancing Health and Wellbeing on the Job.

Dosun Shin, Matthew P. Buman, Pavan K. Turaga, Assegid Kidané, Todd Ingalls

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.

Arindam Dutta, Owen Ma, Meynard John Toledo, Alberto Florez Pregonero, Barbara E. Ainsworth, Matthew P. Buman, Daniel W. Bliss

Sensors, 2018

Modeling individual differences: A case study of the application of system identification for personalizing a physical activity intervention.

Sayali S. Phatak, Mohammad T. Freigoun, César A. Martín, Daniel E. Rivera, Elizabeth V. Korinek, Marc A. Adams, Matthew P. Buman, Predrag V. Klasnja, Eric B. Hekler

J. Biomed. Informatics, 2018

Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data.

Hongjun Choi, Qiao Wang, Meynard John Toledo, Pavan K. Turaga, Matthew P. Buman, Anuj Srivastava

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.

Jisoo Lee, Erin Walker, Winslow Burleson, Matthew Kay, Matthew P. Buman, Eric B. Hekler

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.

Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman

Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016

A Hierarchical Meta-Classifier for Human Activity Recognition.

Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman

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.

Arindam Dutta, Owen Ma, Meynard John Toledo, Matthew P. Buman, Daniel W. Bliss

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

A Multi-featured Approach for Wearable Sensor-Based Human Activity Recognition.

Delaram Yazdansepas, Anzah H. Niazi, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman

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.

Qiao Wang, Suhas Lohit, Meynard John Toledo, Matthew P. Buman, Pavan K. Turaga

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.

Arindam Dutta, Owen Ma, Matthew P. Buman, Daniel W. Bliss

Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016

2015

Using periodicity intensity to detect long term behaviour change.

Feiyan Hu, Alan F. Smeaton, Eamonn Newman, Matthew P. Buman

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

A dynamical systems model of Social Cognitive Theory.

Cesar A. Martin, Daniel E. Rivera, William T. Riley, Eric B. Hekler, Matthew P. Buman, Marc A. Adams, Abby C. King

Proceedings of the American Control Conference, 2014

2013

Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research.

Eric B. Hekler, Predrag V. Klasnja, Jon Froehlich, Matthew P. Buman

Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013