Neuromorphic Energy Efficient Stress Detection System using Spiking Neural Network

BS Ajay, M Rao - 2024 IEEE International Symposium on …, 2024 - ieeexplore.ieee.org
Reliable, low-power stress-detection 'at the edge'is important in the context of monitoring
post-stroke patients. In this context, we have developed feed-forward spiking neural …

Energy Efficient Multi-Modal Stress Detection System with Dynamic Adaptive Spiking Neurons

PP Kambhampati, A BS, M Rao - … of the Great Lakes Symposium on VLSI …, 2024 - dl.acm.org
Reliable and low-power stress-detector 'at the edge'is extremely beneficial for continuously
monitoring hospitalized patients. In this context, feed-forward spiking neural networks …

DESPINE: NAS generated Deep Evolutionary Adaptive Spiking Network for Low Power Edge Computing Applications

BS Ajay, M Rao - 2024 25th International Symposium on …, 2024 - ieeexplore.ieee.org
In this work, we investigate a Recurrent Spiking Convolution Neural Network (RSCNN) with
Adaptive Spiking Neurons (ASNs) that is enabled with adaptive threshold, spiking …