发表机构
The University of Hong Kong（香港大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
OctoSense是统一开源无线感知生态系统的平台，通过三大组件解决该领域碎片化与可复现性问题，集成现有数据集和模型，降低适配工作量，推动研究可互操作、可复用、可复现。
AI 中文摘要
随着AI进入物理世界，无线感知已成为实现非侵入式物理智能的关键模态。然而，与视觉和语言模型的成熟生态系统不同，无线感知研究仍高度碎片化。该领域面临日益严重的“可复现性壁垒”，其成因包括异构数据格式、无法互操作的处理流水线，以及缺乏标准化基准。为打破这一壁垒，我们提出OctoSense，这是一个旨在推动无线感知走向“ImageNet式”研究生态系统的统一平台。OctoSense引入了一个整体框架，通过三个不同组件将高层模型逻辑与临时数据细节解耦：用于简化数据集访问的统一数据抽象、用于高效模型开发的标准化信号算子，以及用于快速公平比较的严格基准引擎。为支持现有数据集和模型，OctoSense集成了一套全面的广泛使用的数据集和模型，将数据和模型适配所需的工作量减少到几行声明式代码。我们通过一组在流行数据集上复现代表性模型的使用示例，证明了OctoSense的有效性。通过提供基础开源基础设施，OctoSense使社区工作能够积累而非碎片化，为实现设计上可互操作、可重用和可复现的无线感知研究铺平了道路。
英文摘要
As AI enters the physical world, wireless sensing has emerged as a key modality for enabling non-intrusive physical intelligence. However, unlike the mature ecosystems of vision and language models, wireless sensing research remains highly fragmented. The field faces a growing "reproducibility wall" caused by heterogeneous data formats, non-interoperable processing pipelines, and the lack of standardized benchmarks. To dismantle this barrier, we present OctoSense, a unified platform designed to propel wireless sensing toward an "ImageNet-style" research ecosystem. OctoSense introduces a holistic framework that decouples high-level model logic from ad-hoc data nuances through three distinct components: a unified data abstraction for streamlined dataset access, standardized signal operators for efficient model development, and a rigorous benchmark engine for rapid and fair comparison. To support existing datasets and models, OctoSense integrates a comprehensive suite of widely used datasets and models, reducing the effort required for data and model adaptation to a few lines of declarative code. We demonstrate the efficacy of OctoSense through a set of usage examples that reproduce representative models on popular datasets. By providing a foundational open-source infrastructure, OctoSense enables community efforts to accumulate rather than fragment, paving the way for wireless sensing research that is interoperable, reusable, and reproducible by design.
Comments17 pages
