Karan Patel, Bryson Gullett, Ian Mulet, Eric Vaughan, Ethan Maness, Tyler Nizsche, Emma Brown, James S. Plank, Catherine D. Schuman

June, 2026

IGSC: 16th ACM International Green and Sustainable Computing Conference

https://dl.acm.org/doi/10.1145/3797248.3816051

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Abstract

Wearable devices are an increasingly powerful platform for deploying AI-driven applications, enabling on-device intelligence without reliance on remote servers. However, edge environments impose strict constraints on data transmission, computational resources, and power consumption. By integrating neuromorphic principles—particularly spiking neural networks (SNNs), which offer exceptional energy efficiency—we address these challenges and propose an end-to-end neuromorphic pipeline for designing a complete hardware system. This pipeline includes collecting custom sensor-generated datasets, training SNNs with evolutionary and backprop-based algorithms, and deploying the SNNs to custom digital neuromorphic hardware to meet application needs. We showcase our pipeline to rapidly design a custom neuromorphic video game controller based on inertial measurement unit (IMU) gesture classification.

Citation Information

Text

author      K. Patel and B. Gullett and I. Mulet and E. Vaughan and E. Maness and T. Nizsche
            and E. Brown and J. S. Plank and C. D. Schuman
title       {NWRIST}: Neuromorphic Wearable for Real-Time Intelligent Sensing Technology
booktitle   IGSC: 16th ACM International Green and Sustainable Computing Conference
pages       89-94
url         https://dl.acm.org/doi/10.1145/3797248.3816051
doi         10.1145/3797248.3816051
publisher   ACM
month       June
year        2026

Bibtex

@INPROCEEDINGS{pgm:26:nwr,
    author = "K. Patel and B. Gullett and I. Mulet and E. Vaughan and E. Maness and T. Nizsche
                and E. Brown and J. S. Plank and C. D. Schuman",
    title = "{NWRIST}: Neuromorphic Wearable for Real-Time Intelligent Sensing Technology",
    booktitle = "IGSC: 16th ACM International Green and Sustainable Computing Conference",
    pages = "89-94",
    url = "https://dl.acm.org/doi/10.1145/3797248.3816051",
    doi = "10.1145/3797248.3816051",
    publisher = "ACM",
    month = "June",
    year = "2026"
}