NCBI PubMed Central
open access
Sensor-based human activity recognition using wrist and ankle wearables.
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
- A Bio-Inspired Lightweight Human Action Recognition Method Based on Human Keypoint Detection.#232353
- KAN-HAR: A Human activity recognition based on Kolmogorov-Arnold Network#662371
- KAN-HAR: A Human activity recognition based on Kolmogorov-Arnold Network#661321
- More Features Are Not More Evidence: Limits of Training-Free Human Activity Recognition with Jev#1130996
- Impact of Gyroscope Integration, Sensor Placement, and Activity Granularity on Human Activity Recognition Performance.#318017
Record · ID 1204490
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