We have improved the GMM classifier from our previous study and it has shown more promising results for this dataset. We achieved an accuracy of 88.92% when ...

This paper discusses and experimentally evaluates instance-based algorithms to infer user activities on the basis of data acquired from body-worn accelerometer ...

Dive into the research topics of 'Comparing Gaussian mixture model and hidden Markov model to classify unique physical activities from accelerometer sensor data ...

Comparing Gaussian Mixture Model and Hidden Markov Model to Classify. Unique Physical Activities from Accelerometer Sensor Data. Arindam Dutta. †. , Owen Ma.

Dive into the research topics of 'Comparing Gaussian mixture model and hidden Markov model to classify unique physical activities from accelerometer sensor data ...

The Gaussian mixture model (GMM) and the hidden Markov model (HMM) algorithms were used to model the physical activities with time and frequency-based ...

Our model allows for the computation of statis- tics that characterize the physical activity of a subject (e.g., the mean time spent at different activity ...

Comparing Gaussian Mixture Model and Hidden Markov Model to Classify Unique Physical Activities from Accelerometer Sensor Data · Computer Science, Engineering.

Nov 12, 2018 · This work proposes a novel activity recognition process to identify unsupervised free-living activities using lab-based classification models.

"comparing gaussian mixture model and hidden markov model to classify unique physical activities from accelerometer sensor ...