ReviewNano-micro letters2023
Machine Learning-Enhanced Flexible Mechanical Sensing.
Review in Nano-micro letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Advancements in Machine Learning-Assisted Flexible Electronics: Technologies, Applications, and Future Prospects.Biosensors · 2026Pooled it
- Mechanophore-Based Multichannel Colorimetric Force Sensors: Ultrasound-Driven Stress and Strain Quantification.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Inverse Design of Pre-Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- A Monolithic Janus Hydrogel Pressure Sensor for Wearable Motion and Physiological Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI-Enabled Smart Textiles.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Research Progress of LaMicromachines · 2026Review
- Recent Advances in Decoupling Strategies for Soft Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Bridging physics and biology in acupuncture: flexible multimodal bioelectronics for decoding the deqi microenvironment.Frontiers in bioengineering and biotechnology · 2026Review
- Review
- On-Skin Epidermal Electronics for Next-Generation Health Management.Nano-micro letters · 2025Review
- Deep learning-enhanced anti-noise triboelectric acoustic sensor for human-machine collaboration in noisy environments.Nature communications · 2025Article
- Recent Advances in Carbon-Based Sensors for Food and Medical Packaging Under Transit: A Focus on Humidity, Temperature, Mechanical, and Multifunctional Sensing Technologies-A Systematic Review.Materials (Basel, Switzerland) · 2025Review
- Design, Fabrication, and Application of Large-Area Flexible Pressure and Strain Sensor Arrays: A Review.Micromachines · 2025Review
- Characterizing Six Percolation Cases in Flexible Electronic Composites: A Monte Carlo-Based 3D Compressive Percolation Model for Wearable Pressure Sensors.Materials (Basel, Switzerland) · 2025Article
- A Fully Integrated Orthodontic Aligner With Force Sensing Ability for Machine Learning-Assisted Diagnosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Enhanced Detection of Gastrointestinal Malignancies using Machine Learning-Optimized Liquid Biopsy: A Mini Review.Current cancer drug targets · 2025Review
- The assessment of sports performance by grip pressure using flexible piezoresistive pressure sensors in seven sports events.Scientific reports · 2024Article
- Usage of Machine Learning Techniques to Classify and Predict the Performance of Force Sensing Resistors.Sensors (Basel, Switzerland) · 2024Article
- Toward an AI Era: Advances in Electronic Skins.Chemical reviews · 2024Review
- Advanced Design of Soft Robots with Artificial Intelligence.Nano-micro letters · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To realize a hyperconnected smart society with high productivity, advances in flexible sensing technology are highly needed. Nowadays, flexible sensing technology has witnessed improvements in both the hardware performances of sensor devices and the data processing capabilities of the device's software. Significant research efforts have been devoted to improving materials, sensing mechanism, and configurations of flexible sensing systems in a quest to fulfill the requirements of future technology. Meanwhile, advanced data analysis methods are being developed to extract useful information from increasingly complicated data collected by a single sensor or network of sensors. Machine learning (ML) as an important branch of artificial intelligence can efficiently handle such complex data, which can be multi-dimensional and multi-faceted, thus providing a powerful tool for easy interpretation of sensing data. In this review, the fundamental working mechanisms and common types of flexible mechanical sensors are firstly presented. Then how ML-assisted data interpretation improves the applications of flexible mechanical sensors and other closely-related sensors in various areas is elaborated, which includes health monitoring, human-machine interfaces, object/surface recognition, pressure prediction, and human posture/motion identification. Finally, the advantages, challenges, and future perspectives associated with the fusion of flexible mechanical sensing technology and ML algorithms are discussed. These will give significant insights to enable the advancement of next-generation artificial flexible mechanical sensing.
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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.