Multimodal deep learning for activity and context recognition
Wearables and mobile devices see the world through the lens of half a dozen low-power sensors, such as, barometers, accelerometers, microphones and proximity detectors. But differences between sensors ranging from sampling rates, discrete and continuous data or even the data type itself make princip...
| Main Authors: | , , , , , , |
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| Format: | Journal article |
| Published: |
Association for Computing Machinery
2018
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