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HuggingFace Daily Papers(社区热门论文)· HuggingFace Daily Papers(社区热门论文)·· 2026-08-08精选AI 评分78

Ego-OSCAR:开源低成本头戴式立体惯性采集系统

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Ego-OSCAR 是一款开源硬件、低成本的头戴式立体惯性采集设备,单台物料成本低于 200 美元,仅使用商用组件和 3D 打印部件。设备搭配硬件同步全局快门立体相机、6 轴 IMU 和嵌入式 Linux SBC,并开源完整软件栈及约 550 小时带同步 IMU 的日常室内环境第一视角立体视频。数据集提供开放词汇动作标注和逐帧 3D 手部重建,旨在降低大规模众包第一视角数据采集门槛。

推荐理由

Ego-OSCAR 把以我为中心的数据采集成本从数万美元压到200美元以下,附带标注的550小时数据集让分布式众包采集变得可行,小团队也能启动规模实验。

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Abstract:We present Ego-OSCAR, an open-hardware, low-cost, head-mounted stereo-inertial capture device for egocentric data collection in the wild. EgoOSCAR pairs a hardware-synchronized global-shutter stereo camera with a 6- axis IMU, an embedded Linux SBC for on-device video encoding, and a realtime microcontroller for user feedback and watchdog functions. The complete bill of materials is under USD 200 per unit, using only commercially available components and 3D-printed parts. Alongside the device, we release a complete software stack (hardware-accelerated recording pipeline, IMU sampling daemon, time-synchronization tooling, and watchdog firmware) and roughly 550 hours of egocentric stereo video per camera with synchronized IMU, collected by a distributed contributor network across everyday indoor environments. The release is annotated rather than raw: free-form action captions cover essentially the entire recorded timeline with an open vocabulary, and per-frame 3D hand reconstructions ship alongside per-session stereo calibration. Ego-OSCAR does not aim to match the per-unit fidelity of research-grade systems such as Project Aria; it aims to be the cheapest defensible substrate for crowdsourced egocentric capture, and to lower the activation energy for any team that wants to collect egocentric data at scale. All hardware designs, software, and the dataset are open-sourced
Subjects: Computer Vision and Pattern Recognition (cs.CV); Hardware Architecture (cs.AR); Robotics (cs.RO)
Cite as: arXiv:2608.08285 [cs.CV]
  (or arXiv:2608.08285v2 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2608.08285

arXiv-issued DOI via DataCite

Submission history

From: Senthil Palanisamy [view email]
[v1] Sat, 8 Aug 2026 18:35:01 UTC (2,830 KB)
[v2] Wed, 12 Aug 2026 05:22:38 UTC (2,830 KB)

来源:HuggingFace Daily Papers(社区热门论文) · arxiv.org