ArticleSensors (Basel, Switzerland)2024
A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors.
Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Evaluating the CorPath GRX robotic system in cerebral aneurysm embolization and diagnostic angiography: a systematic review and single-arm meta-analysis.Journal of robotic surgery · 2026Pooled it
- A Systematic Review of Safety-Driven Approaches in Human-Robot Collaborative Systems.Sensors (Basel, Switzerland) · 2026Pooled it
- Differential Effects of Abdominal Bracing and Hollowing on Scapular Muscle Activation Patterns During the Y-Raise Exercise.Journal of clinical medicine · 2026Article
- GaitIntent: A Kinematic Dataset Focusing on Steady-State to Transitional Locomotion for Lower-Limb Motion Rehabilitation.Scientific data · 2026Article
- Integrating statistical parametric mapping, functional principal component analysis, explainable machine learning, and equivalence testing for multimodal gait signal analysis.BMC biomedical engineering · 2026Article
- Radiomics and Artificial Intelligence in Ovarian Endometriosis Imaging: A Systematic Review and Critical Appraisal of Emerging Evidence.Bioengineering (Basel, Switzerland) · 2026Review
- Explainable machine learning for automated robotic surgical skill assessment using rich kinematic features.Journal of robotic surgery · 2026Article
- Sensing the Action: Rethinking Sensor Modalities and Multi-Modal Fusion in Vision-Language-Action Models for Robotic Manipulation.Sensors (Basel, Switzerland) · 2026Review
- Effect of virtual reality environment complexity on tolerance and locomotor performance in healthy subjects.Scientific reports · 2026Article
- From Simplified Markers to Muscle Function: A Deep Learning Approach for Personalized Cervical Biomechanics Assessment Powered by Massive Musculoskeletal Simulation.Sensors (Basel, Switzerland) · 2026Article
- Comparative Study of Different Algorithms for Human Motion Direction Prediction Based on Multimodal Data.Sensors (Basel, Switzerland) · 2026Article
- Subject-independent gait activity recognition using DSAF: dual-stream IMU-EMG attention fusion with asymmetric temporal encoding and physiological complementarity weighting.Frontiers in neurorobotics · 2026Article
- Multimodal human action recognition and personalized sports health promotion: a deep learning framework integrating wearable sensor fusion.Frontiers in neurorobotics · 2026Article
- A deep learning framework for gait-based frailty classification using inertial measurement units.PloS one · 2026Article
- A 1-Dimensional Physiological Signal Prediction Method Based on Composite Feature Preprocessing and Multi-Scale Modeling.Sensors (Basel, Switzerland) · 2025Article
- Sensor-Based Automatic Recognition of Construction Worker Activities Using Deep Learning Network.Sensors (Basel, Switzerland) · 2025Article
- The analysis of dance teaching system in deep residual network fusing gated recurrent unit based on artificial intelligence.Scientific reports · 2025Article
- A Deep Learning-Based Framework Oriented to Pathological Gait Recognition with Inertial Sensors.Sensors (Basel, Switzerland) · 2025Article
- Enhanced human activity recognition in medical emergencies using a hybrid deep CNN and bi-directional LSTM model with wearable sensors.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Frameworks for human activity recognition (HAR) can be applied in the clinical environment for monitoring patients' motor and functional abilities either remotely or within a rehabilitation program. Deep Learning (DL) models can be exploited to perform HAR by means of raw data, thus avoiding time-demanding feature engineering operations. Most works targeting HAR with DL-based architectures have tested the workflow performance on data related to a separate execution of the tasks. Hence, a paucity in the literature has been found with regard to frameworks aimed at recognizing continuously executed motor actions. In this article, the authors present the design, development, and testing of a DL-based workflow targeting continuous human activity recognition (CHAR). The model was trained on the data recorded from ten healthy subjects and tested on eight different subjects. Despite the limited sample size, the authors claim the capability of the proposed framework to accurately classify motor actions within a feasible time, thus making it potentially useful in a clinical scenario.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.