MadhavShashi/Human-Activity-Recognition-Using-Smartphones-Sensor-DataSet
Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on sensor data and traditionally involves deep domain expertise and methods from signal processing to correctly engineer features from the raw data in order to fit a machine learning model.
Jupyter Notebook
Stargazers
- 0ifeng0
- andy380743909China
- aric0103Shanghai, China
- avi-quago
- crocodilegogogoSun Yat-Sen University
- emanuelkrzyszton
- falahamro
- haithamalshari
- helloworld1973New Zealand
- howell67
- JeremyGe07
- Jiacheng98
- katie-93
- KeAWangStanford, CA
- lian-jiarongThe Hong Kong Polytechnic University
- LizLicense
- luckyluksStuttgart
- marcusnhSopra Steria
- miladvazanTehran
- mintisanGoodix
- NguyenThaiHoc1FJS R&D Center
- pralgomathicUMBC
- RamziHalabi
- ruju09
- sevimcengiz
- sharypovandreyShenzhen, Novosibirsk
- sheikhasimBangalore
- Shen-Yuying
- shramezani
- skr3178
- SLRL
- strongcourage
- tyduskyZhejiang University
- www1092838948
- zhurq0321
- zqiao11Nanyang Technological University (NTU) (Singapore)