Energy Efficient Multi-Modal Stress Detection System with Dynamic Adaptive Spiking Neurons-Reference-Cited by-同舟云学术

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

Published:2024-06-12 Issue: Volume: Page:138-143
ISSN:
Container-title:Proceedings of the Great Lakes Symposium on VLSI 2024
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Author:

Kambhampati Phani Pavan¹^ORCID,B S Ajay²^ORCID,Rao Madhav³^ORCID

Affiliation:

1. VLSI and Embedded Systems, International Institute of Information Technology Bangalore, India

2. Engineering, Intel Technology India Pvt. Ltd., India

3. Electronics and Communication, International Institute of Information Technology Bangalore, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3649476.3658723

Reference23 articles.

1. Design of emotion recognition system using neuromorphic computing technique

2. Binary neural network based real time emotion detection on an edge computing device to detect passenger anomaly

3. NC-Emotions: Neuromorphic hardware accelerator design for facial emotion recognition

4. Seyed Amir Hossein Aqajari Emad Kasaeyan Naeini Milad Asgari Mehrabadi Sina Labbaf Amir M. Rahmani and Nikil Dutt. 2020. GSR Analysis for Stress: Development and Validation of an Open Source Tool for Noisy Naturalistic GSR Data. https://doi.org/10.48550/ARXIV.2005.01834

5. Guillaume Bellec, Darjan Salaj, Anand Subramoney, Robert Legenstein, and Wolfgang Maass. 2018. Long short-term memory and learning-to-learn in networks of spiking neurons. Advances in neural information processing systems 31 (2018). https://proceedings.neurips.cc/paper_files/paper/2018/file/c203d8a151612acf12457e4d67635a95-Paper.pdf

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