arXiv (All)
open access
Data-Centric Neuromotor Interfaces for Portable Human-Machine Interaction
Dexterous human-machine interaction requires intuitive and expressive interfaces that can be efficiently deployed on constrained edge devices. Flexible material-based neuromotor interfaces hold considerable promise, as they decode human movement intention into natural control. Although emerging flex
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Data-Centric Neuromotor Interfaces for Portable Human-Machine Interaction#798091
- Park-MOVE - fNIRS study of complex walking in Parkinson's disease#369436
- DexTaG: Tactile-as-Guidance in Reinforcement Learning for Dexterous Manipulation#1118955
- A Proposal of Grasping Information Interface for Remote Pointing Tasks#124940
- Wearable Multimodal Human-Machine Interface for Integrated Hand Intentions Decoding in Dynamic Teleoperation#984413
Record · ID 799514
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive