Matthew P. Buman

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 24

Top Topics

Gaussian Mixture

Activity Recognition

Top Venues

Publications

Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data. CoRR (2024)
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga
Topological persistence guided knowledge distillation for wearable sensor data. Eng. Appl. Artif. Intell. 130 (2024)
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga
Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data. IEEE Trans. Instrum. Meas. 72 (2023)
Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan Turaga
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. IEEE Internet Things J. 9 (14) (2022)
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga
Topological Knowledge Distillation for Wearable Sensor Data. IEEECONF (2022)
Abdullah Mamun, Krista S. Leonard, Matthew P. Buman, Hassan Ghasemzadeh
Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design. BSN (2022)
Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan Turaga
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. CoRR (2022)
Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. CVPR Workshops (2020)
Dosun Shin, Matthew P. Buman, Pavan K. Turaga, Assegid Kidane, Todd Ingalls
New Investment of Innovative Design of the Future Workstation: Advancing Sedentary Work Behavior. IHIET (Paris) (2020)
César A. Martín, Daniel E. Rivera, Eric B. Hekler, William T. Riley, Matthew P. Buman, Marc A. Adams, Alicia B. Magann
Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions. IEEE Trans. Control. Syst. Technol. 28 (2) (2020)
Anirudh Som, Narayanan Krishnamurthi, Matthew P. Buman, Pavan K. Turaga
Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns. CoRR (2020)
Dosun Shin, Matthew P. Buman, Pavan K. Turaga, Assegid Kidane, Todd Ingalls
Design of the Future Workstation: Enhancing Health and Wellbeing on the Job. AHFE (13) (2020)
Anirudh Som, Narayanan Krishnamurthi, Matthew P. Buman, Pavan K. Turaga
Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns. EMBC (2020)
Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. CoRR (2019)
Arindam Dutta, Owen Ma, Meynard John Toledo, Alberto Florez Pregonero, Barbara E. Ainsworth, Matthew P. Buman, Daniel W. Bliss
Identifying Free-Living Physical Activities Using Lab-Based Models with Wearable Accelerometers. Sensors 18 (11) (2018)
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
Modeling individual differences: A case study of the application of system identification for personalizing a physical activity intervention. J. Biomed. Informatics 79 (2018)
Hongjun Choi, Qiao Wang, Meynard John Toledo, Pavan K. Turaga, Matthew P. Buman, Anuj Srivastava
Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data. CVPR Workshops (2018)
Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman
Statistical Analysis of Window Sizes and Sampling Rates in Human Activity Recognition. HEALTHINF (2017)
Jisoo Lee, Erin Walker, Winslow Burleson, Matthew Kay, Matthew P. Buman, Eric B. Hekler
Self-Experimentation for Behavior Change: Design and Formative Evaluation of Two Approaches. CHI (2017)
Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman
A Hierarchical Meta-Classifier for Human Activity Recognition. ICMLA (2016)
Delaram Yazdansepas, Anzah H. Niazi, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman
A Multi-featured Approach for Wearable Sensor-Based Human Activity Recognition. ICHI (2016)
Qiao Wang, Suhas Lohit, Meynard John Toledo, Matthew P. Buman, Pavan K. Turaga
A statistical estimation framework for energy expenditure of physical activities from a wrist-worn accelerometer. EMBC (2016)
Arindam Dutta, Owen Ma, Meynard John Toledo, Matthew P. Buman, Daniel W. Bliss
Comparing Gaussian Mixture Model and Hidden Markov Model to Classify Unique Physical Activities from Accelerometer Sensor Data. ICMLA (2016)
Arindam Dutta, Owen Ma, Matthew P. Buman, Daniel W. Bliss
Learning approach for classification of GENEActiv accelerometer data for unique activity identification. BSN (2016)
Feiyan Hu, Alan F. Smeaton, Eamonn Newman, Matthew P. Buman
Using periodicity intensity to detect long term behaviour change. UbiComp/ISWC Adjunct (2015)
Cesar A. Martin, Daniel E. Rivera, William T. Riley, Eric B. Hekler, Matthew P. Buman, Marc A. Adams, Abby C. King
A dynamical systems model of Social Cognitive Theory. ACC (2014)
Eric B. Hekler, Predrag V. Klasnja, Jon Froehlich, Matthew P. Buman
Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research. CHI (2013)