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Research Output 2008 2019

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Conference contribution
2018

Temporal alignment improves feature quality: An experiment on activity recognition with accelerometer data

Choi, H., Wang, Q., Toledo, M., Turaga, P., Buman, M. & Srivastava, A., Dec 13 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2018. IEEE Computer Society, Vol. 2018-June. p. 462-470 9 p. 8575537

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Accelerometers
Pipelines
Functional analysis
Human computer interaction
Learning systems
2017
2 Citations (Scopus)

A hierarchical meta-classifier for human activity recognition

Niazi, A. H., Yazdansepas, D., Gay, J. L., Maier, F. W., Ramaswamy, L., Rasheed, K. & Buman, M., Jan 31 2017, Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016. Institute of Electrical and Electronics Engineers Inc., p. 81-86 6 p. 7838126

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Classifiers
Accelerometers
1 Citation (Scopus)

Comparing Gaussian mixture model and hidden Markov model to classify unique physical activities from accelerometer sensor data

Dutta, A., Ma, O., Toledo, M., Buman, M. & Bliss, D., Jan 31 2017, Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016. Institute of Electrical and Electronics Engineers Inc., p. 339-344 6 p. 7838166

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hidden Markov models
Accelerometers
Classifiers
Sensors
Physical therapy
19 Citations (Scopus)

Self-experimentation for behavior change: Design and formative evaluation of two approaches

Lee, J., Walker, E., Burleson, W., Kay, M., Buman, M. & Hekler, E. B., May 2 2017, CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Association for Computing Machinery, Vol. 2017-May. p. 6837-6849 13 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Human computer interaction
Education
Health
Sleep
4 Citations (Scopus)

Statistical analysis of window sizes and sampling rates in human activity recognition

Niazi, A. H., Yazdansepas, D., Gay, J. L., Maier, F. W., Ramaswamy, L., Rasheed, K. & Buman, M., Jan 1 2017, HEALTHINF 2017 - 10th International Conference on Health Informatics, Proceedings; Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017. Gamboa, H., Fred, A., van den Broek, E. L. & Vaz, M. (eds.). SciTePress, Vol. 5. p. 319-325 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Human Activities
Linear Models
Statistical methods
Actigraphy
Sampling
2016
9 Citations (Scopus)

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

Yazdansepas, D., Niazi, A. H., Gay, J. L., Maier, F. W., Ramaswamy, L., Rasheed, K. & Buman, M., Dec 6 2016, Proceedings - 2016 IEEE International Conference on Healthcare Informatics, ICHI 2016. Institute of Electrical and Electronics Engineers Inc., p. 423-431 9 p. 7776399

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Human Activities
Accelerometers
Learning systems
Feature extraction
Reading
3 Citations (Scopus)

A statistical estimation framework for energy expenditure of physical activities from a wrist-worn accelerometer

Wang, Q., Lohit, S., Toledo, M. J., Buman, M. & Turaga, P., Oct 13 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-October. p. 2631-2635 5 p. 7591270

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wrist
Accelerometers
Energy Metabolism
Probability distributions
Classifiers
4 Citations (Scopus)

Learning approach for classification of GENEActiv accelerometer data for unique activity identification

Dutta, A., Ma, O., Buman, M. & Bliss, D., Jul 18 2016, BSN 2016 - 13th Annual Body Sensor Networks Conference. Institute of Electrical and Electronics Engineers Inc., p. 359-364 6 p. 7516288

Research output: Chapter in Book/Report/Conference proceedingConference contribution

accelerometers
Hidden Markov models
Accelerometers
learning
Feature extraction
2015
2 Citations (Scopus)

Using periodicity intensity to detect long term behaviour change

Hu, F., Smeaton, A. F., Newman, E. & Buman, M., Sep 7 2015, UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, p. 1069-1074 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Accelerometers
Sleep
2014
32 Citations (Scopus)

A dynamical systems model of Social Cognitive Theory

Martín, C. A., Rivera, D., Riley, W. T., Hekler, E. B., Buman, M., Adams, M. & King, A. C., 2014, Proceedings of the American Control Conference. Institute of Electrical and Electronics Engineers Inc., p. 2407-2412 6 p. 6859463

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dynamical systems
Health
Systems engineering
Control systems
Fluids
2013
131 Citations (Scopus)

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

Hekler, E. B., Klasnja, P., Froehlich, J. E. & Buman, M., 2013, Conference on Human Factors in Computing Systems - Proceedings. p. 3307-3316 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Human computer interaction
Sustainable development
Health