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Comparing Gaussian mixture model and hidden Markov model to classify unique physical activities from accelerometer sensor data
Arindam Dutta, Owen Ma, Meynard Toledo, Matthew Buman, Daniel Bliss
- Cognitive Ubiquitous Computing, Center for (CUbiC)
- Nursing and Health Innovation, Edson College of (EDSON)
- Sensor, Signal and Information Processing Center (SenSIP)
- Electrical, Computer, and Energy Engineering, School of (IAFSE-ECEE)
- Strategic Communication, Center for
- Wireless Information Systems and Computational Architectures (WISCA)
- Electrical Engineering
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
5
Scopus
citations