Gravity-Aware Hierarchical Routing for Lightweight SensorLLM on Human Activity Recognition

Hao Li; Mingrui Zheng; Yasuyuki Tahara; Yuichi Sei

← 论文

预印本 2026

面向人体活动识别的轻量级SensorLLM重力感知分层路由

Gravity-Aware Hierarchical Routing for Lightweight SensorLLM on Human Activity Recognition

Hao Li, Mingrui Zheng, Yasuyuki Tahara and Yuichi Sei^*

arXiv preprint, arXiv:2606.04019（2026）

arXiv ↗

ABSTRACT

摘要

该预印本关注轻量级 SensorLLM 类模型的一种典型问题：动态活动仍较容易识别，但站立、坐姿和躺卧等低运动静态姿态的区分能力明显下降。论文提出轻量级重力感知分层路由头，利用 tokenizer 状态中的统计特征在静态专家与全量专家之间进行软路由。在 MHealth 数据集上，该方法主要提升静态类别的 macro-F1，同时以较小参数开销保持动态活动的识别性能。

CITATION

BibTeX

@article{Li2026GravityAware,
  author  = {Hao Li and Mingrui Zheng and Yasuyuki Tahara and Yuichi Sei},
  title   = {Gravity-Aware Hierarchical Routing for Lightweight SensorLLM on Human Activity Recognition},
  journal = {arXiv preprint arXiv:2606.04019},
  year    = {2026},
  doi     = {10.48550/arXiv.2606.04019},
  url     = {https://arxiv.org/abs/2606.04019}
}