[time]
2023-07-26T07:13:50+02:00

[track]
3

[team_name]
Inha 

[Papaya]


[team_institution]
Inha University, Papaya Co., LTD.

[logolink]
https://drive.google.com/file/d/1trJbETNV2YQWR_yyiPOy6rSimg0LlQ01/view?usp=drive_link

[team_members]
Wonik Choi, Chungheon Yi , Taeyeab Kim, Young-jun Jeon, Minjoon Jeon, Kiryang Kwon

[reference_person]
Wonik Choi

[reference_email]
wichoi@inha.ac.kr

[description_short]
Our system, called PapayaIPS, isan artificial intelligence-based positioning solution, which employs a specially designed comparative neural network to estimate locations. We develop our own comparative neural network and call this neural network PNN(Positioning Neural Network). PapayaIPS is basically aiming to utilize all signals that can be received by a smartphone such as Wi-Fi, BLE, barometer, and accelerometer, etc., to provide a comprehensive positioning solution. 
PapayaIPS is based on signal tensor images that are transformed and visualized from those multi-dimensional signal values received by a smartphone at a certain point. Then, PNN learns to transform the similarity of two signal tensors into the Euclidean distance indoors by training with these signal tensor images.

[description_long_link]
https://drive.google.com/file/d/1QS3NgFc6sFTN16iMvAigW9xjXQu3Lcs-/view?usp=sharing

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true

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