Machine Learning DataSet Sensors Tim Manning
Data set on sensors on mobile phones from Tim manning at SIGMA. Abstract: The Heterogeneity Human Activity Recognition (HHAR) dataset from Smartphones and Smartwatches is a dataset devised to benchmark human activity recognition algorithms (classification, automatic data segmentation, sensor fusion, feature extraction, etc.) in real-world contexts; specifically, the dataset is gathered with a variety of different device models and use-scenarios, in order to reflect sensing heterogeneities to be expected in real deployments.
WP-02
Date of Publication:
30 November -0001
30 November -0001
@article{sensecare:521,
- title = {Machine Learning DataSet Sensors Tim Manning},
- year = {-0001},
- date = {November 30, -0001},
-0001 Machine Learning DataSet Sensors Tim Manning November 30, -0001
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Workpackages
WP2 Affective Computing (AC) & Machine Learning
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