[time]
2022-08-29T12:56:57+02:00

[track]
3

[team_name]
IOT2US

[team_institution]
Queen Mary, University of London

[logolink]


[team_members]


[reference_person]
Yonglei Fan; Qiqi Shu; Zhao Huang

[reference_email]
vanylfm@gmail.com

[description_short]
it can be devided into four parts,
Heading: I use machine learning to calculate based on accelerate, gyroscope and geomagnetic
step Recognition: I use low frequency filter to recognize Step based on accelerate data
Step Length: there is a model from Kim
Floor Recognition: air pressure data is used to decided

[description_long_link]
https://github.com/vanylFM/IPIN2022-Team-IOT2US

[publish_check_]
true

[results_check_]
true

[data_check_]
true

[pdf_check_]
true

[video_check_]
true