Simulation for a Mems-Based CTRNN Ultra-Low Power Implementation of Human Activity Recognition
This paper presents an energy-efficient classification framework that performs human activity recognition (HAR). Typically, HAR classification tasks require a computational platform that includes a processor and memory along with sensors and their interfaces, all of which consume significant power....
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| Main Authors: | , , , , |
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| Format: | Book |
| Published: |
Frontiers Media S.A.,
2021-09-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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