+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Human Motion Recognition by Textile Sensors Based on Machine Learning Algorithms

Human Motion Recognition by Textile Sensors Based on Machine Learning Algorithms

Sensors 18(9)

Wearable sensors for human physiological monitoring have attracted tremendous interest from researchers in recent years. However, most of the research involved simple trials without any significant analytical algorithms. This study provides a way of recognizing human motion by combining textile stretch sensors based on single-walled carbon nanotubes (SWCNTs) and spandex fabric (PET/SP) and machine learning algorithms in a realistic application. In the study, the performance of the system will be evaluated by identification rate and accuracy of the motion standardized. This research aims to provide a realistic motion sensing wearable product without unnecessary heavy and uncomfortable electronic devices.

Please choose payment method:

(PDF emailed within 0-6 h: $19.90)

Accession: 065806470

Download citation: RISBibTeXText

PMID: 30223535

DOI: 10.3390/s18093109

Related references

Machine Learning Algorithms for Liquid Crystal-Based Sensors. Acs Sensors 3(11): 2237-2245, 2018

Detection of Talking in Respiratory Signals: A Feasibility Study Using Machine Learning and Wearable Textile-Based Sensors. Sensors 18(8), 2018

Bionic Electronic Nose Based on MOS Sensors Array and Machine Learning Algorithms Used for Wine Properties Detection. Sensors 19(1), 2018

Obstacle Recognition Based on Machine Learning for On-Chip LiDAR Sensors in a Cyber-Physical System. Sensors 17(9), 2017

Geometrical features for premature ventricular contraction recognition with analytic hierarchy process based machine learning algorithms selection. Computer Methods and Programs in Biomedicine 169: 59-69, 2019

Human Activity Recognition Based on Symbolic Representation Algorithms for Inertial Sensors. Sensors 18(11), 2018

SEMG-based hand motion recognition using cumulative residual entropy and extreme learning machine. Medical and Biological Engineering and Computing 51(4): 417-427, 2013

Assessment of beer quality based on foamability and chemical composition using computer vision algorithms, near infrared spectroscopy and machine learning algorithms. Journal of the Science of Food and Agriculture 98(2): 618-627, 2017

Identifying lupus patients in electronic health records: Development and validation of machine learning algorithms and application of rule-based algorithms. Seminars in Arthritis and Rheumatism 2019, 2019

Man vs. computer: benchmarking machine learning algorithms for traffic sign recognition. Neural Networks 32: 323-332, 2012

Recognition of Emotion Intensities Using Machine Learning Algorithms: A Comparative Study. Sensors 19(8), 2019

Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: a machine learning approach. Conference Proceedings 2016: 3712-3715, 2017

Human action recognition using extreme learning machine based on visual vocabularies. Neurocomputing 73(10-12): 1906-1917, 2010

Machine learning algorithms for activity recognition in ambulant children and adolescents with cerebral palsy. Journal of Neuroengineering and Rehabilitation 15(1): 105, 2018

Impact of Sliding Window Length in Indoor Human Motion Modes and Pose Pattern Recognition Based on Smartphone Sensors. Sensors 18(6), 2018