Article

A Real-Time Communication Framework for Distributed Wearable Human Activity Recognition

2026-07-21

Abstract excerpt

Real-time systems for Human Activity Recognition (HAR) with multiple wearable sensors require not only accurate classification models, but also an inference architecture capable of distributing computation, reducing communication payload, and maintaining temporal consistency across asynchronous sensor streams. This paper presents a real-time distributed HAR framework in which each wearable sensor is associated wit...

Topics

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

Identifiers and source

Literature Corpus work: 0e7671d8-0ef3-5a2f-a25c-0d8935039892
DOI: 10.20944/preprints202607.1535.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Real-Time Communication Framework for Distributed Wearable Human Activity RecognitionDOI 10.20944/preprints202607.1535.v1Read

A Unified Approach for Real-Time Human Activity Recognition in Wearable Devices Using Attention-Gated Spatiotemporal Fusion Networks and Optimized Sensor Data ProcessingSemantic proximity Read

Wearable Sensor Based Human Activity Recognition with TransformerSemantic proximity Read

Hierarchical Fusion with Decision Enhancement for Human Activity Recognition Using Deep Learning FrameworkSemantic proximity Read

A Multi-Layer Neural Network Model “SR-KS” of Human Activity Recognition for the Problem of Similar Human ActivitySemantic proximity Read

FB-Mamba, an Efficient Bidirectional State Space Model for Wearable Sensor-Based Gait AnalysisSemantic proximity Read

Real-time Energy-efficient Sensor Libraries for Wearable DevicesSemantic proximity Read

Efficient Uncertainty Aware Human Activity Recognition On Microcontrollers Using Hyperdimensional Computing And Conformal PredictionSemantic proximity Read

Cross-Domain Complementary Dual-Stream Deep Self-Supervised Learning Framework for Human Activity Recognition on Wearable DevicesSemantic proximity Read

Context-Aware Complex Human Activity Recognition using Hybrid Deep Learning ModelsSemantic proximity Read

A Structured and Methodological Review on Multi-View Human Activity Recognition for Ambient Assisted LivingSemantic proximity Read

A multi-scale feature extraction fusion model for human activity recognitionSemantic proximity Read

Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and ChallengesSemantic proximity Read