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A Low Power, Parallel Wearable Multi-Sensor System for Human Activity Evaluation
In this paper, the design of a low power heterogeneous wearable multi-sensor system, built with Zynq System-on-Chip (SoC), for human activity evaluation is presented. The powerful data processing capability and flexibility of this SoC represent significant improvements over our previous ARM based sy...
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| Опубликовано в: : | Proc IEEE Annu Northeast Bioeng Conf |
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| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2015
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4501490/ https://ncbi.nlm.nih.gov/pubmed/26185409 |
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