ICFICE 2019
Current Result Document :
| 한글제목(Korean Title) |
Human Activity Recognition Techniques using Deep Learning under Smartphone Acceleration Sensor |
| 영문제목(English Title) |
Human Activity Recognition Techniques using Deep Learning under Smartphone Acceleration Sensor |
| 저자(Author) |
Teuk-Seob Song
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| 원문수록처(Citation) |
VOL 11 NO. 01 PP. 0261 ~ 0262 (2019. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Smartphone have various sensors such as acceleration, gyro, GPS sensor and etc. Accelerometer denotes magnitude of the measure value of the objects rate of change of velocity. Using accelerometer human activity recognition uses the magnetite of three axis acceleration values. In this talk, we will discuss human activity recognition method that uses deep learning techniques.
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| 키워드(Keyword) |
Acceleration sensor
Deep learning
Human action recognition
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| 파일첨부 |
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