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Efficient Uncertainty Aware Human Activity Recognition On Microcontrollers Using Hyperdimensional Computing And Conformal Prediction

2025-10-31

Abstract excerpt

<title>Abstract</title> <p>In this paper, we tackle a core challenge for wearable human activity recognition (HAR): delivering reliable, interpretable uncertainty on tiny microcontrollers where latency, RAM, and energy are tightly constrained. Existing embedded approaches either calibrate softmax confidences—cheap but brittle under sensor placement or tempo shifts—or rely on generative or posterior-sampling schem...

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Literature Corpus work
9cfbe888-f0e2-5248-adbd-d608d6fcfa44
DOI
10.21203/rs.3.rs-7728157/v1
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Efficient Uncertainty Aware Human Activity Recognition On Microcontrollers Using Hyperdimensional Computing And Conformal PredictionDOI 10.21203/rs.3.rs-7728157/v1
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