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Motoki Shino · Study

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Motoki Shino

3 works· latest 2020· 1 institutionscluster: provisionalORCID 0009-0003-8874-1419

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i102

Citations186

Works here3

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Most cited in this library

An Investigation of Early Detection of Driver Drowsiness Using Ensemble Machine Learning Based on Hybrid Sensing2020 · 119 citations
Early Detection of Driver Drowsiness Utilizing Machine Learning based on Physiological Signals, Behavioral Measures, and Driving Performance2018 · 61 citations
Expression of paths and buildings for universal designed interactive map with due consideration for visually impaired people2008 · 6 citations

Works

3 shown

An Investigation of Early Detection of Driver Drowsiness Using Ensemble Machine Learning Based on Hybrid Sensing

Applied Sciences·2020·3 authors·Open access

119citations

Early Detection of Driver Drowsiness Utilizing Machine Learning based on Physiological Signals, Behavioral Measures, and Driving Performance

IEEE International Conference on Intelligent Transportation Systems (ITSC)·2018·3 authors·other

61citations

Expression of paths and buildings for universal designed interactive map with due consideration for visually impaired people

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics·2008·4 authors·other

6citations