Back to search

Article

FB-Mamba, an Efficient Bidirectional State Space Model for Wearable Sensor-Based Gait Analysis

2026-02-24

Abstract excerpt

<title>Abstract</title> <p>Wearable sensor-based gait analysis encompasses diverse tasks including human activity recognition, neurodegenerative disease diagnosis, and clinical event detection. Existing deep learning approaches are typically designed for specific tasks, lacking a unified framework that generalizes across different scenarios. We present the first systematic investigation of state space models for...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
5f7235b7-a7ce-5166-a42d-9f29c77edc7f
DOI
10.21203/rs.3.rs-8933284/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
FB-Mamba, an Efficient Bidirectional State Space Model for Wearable Sensor-Based Gait AnalysisDOI 10.21203/rs.3.rs-8933284/v1
Select a neighboring publication to make it the new centre.