Human body skin temperature prediction based on machine learning

2020 ◽  
Author(s):  
Shin Morishima ◽  
Yingjie Xu ◽  
Akira Urashima ◽  
Tomoji Toriyama
Keyword(s):  
Machine Learning ◽  
Skin Temperature ◽  
Human Body ◽  
Temperature Prediction

scholarly journals Feasibility of Using Floor Vibration to Detect Human Falls

2020 ◽  
Vol 18 (1) ◽  
pp. 200
Author(s):  
Yu Shao ◽  
Xinyue Wang ◽  
Wenjie Song ◽  
Sobia Ilyas ◽  
Haibo Guo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Human Body ◽  
Nearest Neighbor ◽  
Body Movement ◽  
Modern Society ◽  
Recognition System ◽  
Machine Learning Algorithms ◽  
K Nearest Neighbor ◽  
Study Results ◽  
Floor Vibration

With the increasing aging population in modern society, falls as well as fall-induced injuries in elderly people become one of the major public health problems. This study proposes a classification framework that uses floor vibrations to detect fall events as well as distinguish different fall postures. A scaled 3D-printed model with twelve fully adjustable joints that can simulate human body movement was built to generate human fall data. The mass proportion of a human body takes was carefully studied and was reflected in the model. Object drops, human falling tests were carried out and the vibration signature generated in the floor was recorded for analyses. Machine learning algorithms including K-means algorithm and K nearest neighbor algorithm were introduced in the classification process. Three classifiers (human walking versus human fall, human fall versus object drop, human falls from different postures) were developed in this study. Results showed that the three proposed classifiers can achieve the accuracy of 100, 85, and 91%. This paper developed a framework of using floor vibration to build the pattern recognition system in detecting human falls based on a machine learning approach.

scholarly journals A Rail-Temperature-Prediction Model Based on Machine Learning: Warning of Train-Speed Restrictions Using Weather Forecasting

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4606
Author(s):  
Sunguk Hong ◽  
Cheoljeong Park ◽  
Seongjin Cho
Keyword(s):  
Machine Learning ◽  
Prediction Model ◽  
Weather Forecasting ◽  
Thermal Environment ◽  
Management Plan ◽  
Temperature Prediction ◽  
Railway Systems ◽  
Train Speed ◽  
Speed Restrictions ◽  
Entire Network

Predicting the rail temperature of a railway system is important for establishing a rail management plan against railway derailment caused by orbital buckling. The rail temperature, which is directly responsible for track buckling, is closely related to air temperature, which continuously increases due to global warming effects. Moreover, railway systems are increasingly installed with continuous welded rails (CWRs) to reduce train vibration and noise. Unfortunately, CWRs are prone to buckling. This study develops a reliable and highly accurate novel model that can predict rail temperature using a machine learning method. To predict rail temperature over the entire network with high-prediction performance, the weather effect and solar effect features are used. These features originate from the analysis of the thermal environment around the rail. Precisely, the presented model has a higher performance for predicting high rail temperature than other models. As a convenient structural health-monitoring application, the train-speed-limit alarm-map (TSLAM) was also proposed, which visually maps the predicted rail-temperature deviations over the entire network for railway safety officers. Combined with TSLAM, our rail-temperature prediction model is expected to improve track safety and train timeliness.

Application of Machine Learning for Temperature Prediction in a Test Road in Alberta

2021 ◽  
Author(s):  
Mohamad Molavi Nojumi ◽  
Yunyan Huang ◽  
Leila Hashemian ◽  
Alireza Bayat
Keyword(s):  
Machine Learning ◽  
Temperature Prediction ◽  
Test Road

scholarly journals Study on Machine Learning and Deep Learning Methods for Human Action Recognition

2020 ◽  
Author(s):  
Gopika Rajendran ◽  
Ojus Thomas Lee ◽  
Arya Gopi ◽  
Jais jose ◽  
Neha Gautham
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Action Recognition ◽  
Human Body ◽  
Human Performance ◽  
Human Action Recognition ◽  
Human Action ◽  
Human Robot Interaction ◽  
Learning Approach ◽  
Action Sequence

With the evolution of computing technology in many application like human robot interaction, human computer interaction and health-care system, 3D human body models and their dynamic motions has gained popularity. Human performance accompanies human body shapes and their relative motions. Research on human activity recognition is structured around how the complex movement of a human body is identified and analyzed. Vision based action recognition from video is such kind of tasks where actions are inferred by observing the complete set of action sequence performed by human. Many techniques have been revised over the recent decades in order to develop a robust as well as effective framework for action recognition. In this survey, we summarize recent advances in human action recognition, namely the machine learning approach, deep learning approach and evaluation of these approaches.

Machine learning based temperature prediction of poly(N-isopropylacrylamide)-capped plasmonic nanoparticle solutions

2019 ◽  
Vol 21 (44) ◽  
pp. 24808-24819
Author(s):  
Sudaraka Mallawaarachchi ◽  
Yiyi Liu ◽  
San H. Thang ◽  
Wenlong Cheng ◽  
Malin Premaratne
Keyword(s):  
Machine Learning ◽  
Machine Learning Techniques ◽  
Solution Temperature ◽  
Thermosensitive Polymer ◽  
Temperature Prediction ◽  
Plasmonic Nanoparticle ◽  
Learning Techniques

Machine learning techniques can predict the solution temperature of thermosensitive polymer-capped nanoparticle solutions to within 1 °C of accuracy.

Ultra-high temperature ceramics melting temperature prediction via machine learning

2019 ◽  
Vol 45 (15) ◽  
pp. 18551-18555 ◽  
Author(s):  
Nan Qu ◽  
Yong Liu ◽  
Mingqing Liao ◽  
Zhonghong Lai ◽  
Fei Zhou ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Temperature ◽  
Melting Temperature ◽  
Temperature Prediction ◽  
Ultra High Temperature Ceramics ◽  
Ultra High Temperature
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