Hardware-Based Hopfield Neuromorphic Computing for Fall Detection

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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Bibliographic Details
Main Authors: Zheqi Yu, Adnan Zahid, Shuja Ansari, Hasan Abbas, Amir M. Abdulghani, Hadi Heidari, Muhammad A. Imran, Qammer H. Abbasi
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Sensors
Subjects:
neuro-inspired model
neural networks
signal processing
artificial intelligence
Online Access:https://www.mdpi.com/1424-8220/20/24/7226

Internet

https://www.mdpi.com/1424-8220/20/24/7226

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