Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research. - Eric B. Hekler; Predrag V. Klasnja; Jon Froehlich; Matthew P. Buman (CHI, 2013)

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 (ACC, 2014)

Using periodicity intensity to detect long term behaviour change. - Feiyan Hu; Alan F. Smeaton; Eamonn Newman; Matthew P. Buman (UbiComp/ISWC Adjunct, 2015)

Learning approach for classification of GENEActiv accelerometer data for unique activity identification. - Arindam Dutta; Owen Ma; Matthew P. Buman; Daniel W. Bliss (BSN, 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 (EMBC, 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 (ICHI, 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 (ICMLA, 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 (ICMLA, 2016)

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 (HEALTHINF, 2017)

Self-Experimentation for Behavior Change: Design and Formative Evaluation of Two Approaches. - Jisoo Lee; Erin Walker; Winslow Burleson; Matthew Kay 001; Matthew P. Buman; Eric B. Hekler (CHI, 2017)

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 (CVPR Workshops, 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)

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)

Design of the Future Workstation: Enhancing Health and Wellbeing on the Job. - Dosun Shin; Matthew P. Buman; Pavan K. Turaga; Assegid Kidané; Todd Ingalls (AHFE (13), 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 (CVPR Workshops, 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 (EMBC, 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 (IHIET (Paris), 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)

Topological Knowledge Distillation for Wearable Sensor Data. - Eun Som Jeon; Hongjun Choi; Ankita Shukla; Yuan Wang 057; Matthew P. Buman; Pavan K. Turaga (IEEECONF, 2022)

Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design. - Abdullah Mamun; Krista S. Leonard; Matthew P. Buman; Hassan Ghasemzadeh 001 (BSN, 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)

Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data. - Eun Som Jeon; Hongjun Choi; Ankita Shukla; Yuan Wang 057; Matthew P. Buman; Pavan K. Turaga (IEEE Trans. Instrum. Meas., 2023)

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 001 (CoRR, 2024)

Topological persistence guided knowledge distillation for wearable sensor data. - Eun Som Jeon; Hongjun Choi; Ankita Shukla; Yuan Wang 057; Hyunglae Lee; Matthew P. Buman; Pavan K. Turaga (Eng. Appl. Artif. Intell., 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., 2024)

Robustness of topological persistence in knowledge distillation for wearable sensor data. - Eun Som Jeon; Hongjun Choi; Ankita Shukla; Yuan Wang 057; Matthew P. Buman; Hyunglae Lee; Pavan K. Turaga (EPJ Data Sci., 2024)

Role of Mixup in Topological Persistence Based Knowledge Distillation for Wearable Sensor Data. - Eun Som Jeon; Hongjun Choi; Matthew P. Buman; Pavan K. Turaga (CoRR, 2025)

GlucoLens: Explainable Postprandial Blood Glucose Prediction from Diet and Physical Activity. - Abdullah Mamun; Asiful Arefeen; Susan B. Racette; Dorothy D. Sears; Corrie M. Whisner; Matthew P. Buman; Hassan Ghasemzadeh 001 (CoRR, 2025)