用颈圈式生物阻抗传感器实现无视线头姿追踪，效果媲美顶级视觉方法。
From Neck to Head: Bio-Impedance Sensing for Head Pose Estimation
- 通过颈部多通道阻抗变化感知头姿转动与肌肉微动
- 在7人实验中平均顶点误差25.9毫米，跨被试验证有效
- 无需视线、佩戴轻便，适合可穿戴场景
我们提出NeckSense，一种新型可穿戴头姿追踪系统，采用柔性干电极嵌入轻量颈圈式结构，利用多通道生物阻抗传感捕捉颈部组织阻抗的动态变化，这些变化由头旋转和细微肌肉活动调制。为鲁棒估计头姿，我们设计了一种深度学习框架，将解剖学先验（如关节约束和自然头旋范围）融入损失函数。我们在7名参与者上验证了该系统，以当前最先进姿态估计模型作为真值。通过留一被试交叉验证，系统在各类头动下平均顶点误差达25.9毫米，证明紧凑型、无需视线的生物阻抗可穿戴设备可实现与最先进视觉方法相当的头姿追踪性能。
原文摘要 · Abstract (English)
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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