🧪 Test?View on arXiv
mmHand: Toward Pixel-Level-Accuracy Hand Localization Using a Single Commodity mmWave Device
Author1, Author2, Author3, Author4, Author5
mmWavehand localizationprivacy-preservingcomputer vision
2611.05404
Builder Relevance
2h ago80%
Abstract
The paper presents mmHand, a device-free hand localization system using mmWave technology that achieves pixel-level accuracy while preserving user privacy.
Reality Card
Core Claim
mmHand achieves pixel-level accuracy in hand localization using a single commodity mmWave device without compromising user privacy.
Method / Result
The system was evaluated with experiments on 12 subjects across three scenarios, demonstrating effectiveness across four metrics.
Limitations
The reliance on a specific commodity mmWave device may limit reproducibility across different hardware setups.
Paper to code
Verified implementation resources so builders can test the paper’s claims instead of stopping at the abstract.
No verified implementation link has been attached yet. AIBuzzHub will keep this panel separate from unverified search results.