Hardware-Based Hopfield Neuromorphic Computing for Fall Detection

With the popularity of smart wearable systems, sensor signal processing poses more challenges to machine learning in embedded scenarios. For example, traditional machine-learning methods for data classification, especially in real time, are computationally intensive. The deployment of Artificial Int...

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Detalles Bibliográficos
Autores principales: Yu, Zheqi, Zahid, Adnan, Ansari, Shuja, Abbas, Hasan, Abdulghani, Amir M., Heidari, Hadi, Imran, Muhammad A., Abbasi, Qammer H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766472/
https://www.ncbi.nlm.nih.gov/pubmed/33348587
http://dx.doi.org/10.3390/s20247226

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766472/
https://www.ncbi.nlm.nih.gov/pubmed/33348587
http://dx.doi.org/10.3390/s20247226

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