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arXiv · 2507.12884

From Neck to Head: Bio-Impedance Sensing for Head Pose Estimation

Mengxi Liu·Lala Shakti Swarup Ray·Sizhen Bian·Ko Watanabe·Ankur Bhatt·Joanna Sorysz·Russel Torah·Bo Zhou·Paul Lukowicz
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Abstract

We present NeckSense, a novel wearable system for head pose tracking that leverages multi-channel bio-impedance sensing with soft, dry electrodes embedded in a lightweight, necklace-style form factor. NeckSense captures dynamic changes in tissue impedance around the neck, which are modulated by head rotations and subtle muscle activations. To robustly estimate head pose, we propose a deep learning framework that integrates anatomical priors, including joint constraints and natural head rotation ranges, into the loss function design. We validate NeckSense on 7 participants using the current SOTA pose estimation model as ground truth. Our system achieves a mean per-vertex error of 25.9 mm across various head movements with a leave-one-person-out cross-validation method, demonstrating that a compact, line-of-sight-free bio-impedance wearable can deliver head-tracking performance comparable to SOTA vision-based methods.

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Mengxi Liu, Lala Shakti Swarup Ray, Sizhen Bian, Ko Watanabe, Ankur Bhatt, Joanna Sorysz, Russel Torah, Bo Zhou, Paul Lukowicz. 2025-07-17. From Neck to Head: Bio-Impedance Sensing for Head Pose Estimation. https://arxiv.org/abs/2507.12884

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