Naslov
Exploratory data analysis of stream data in sports medicine domain

Autori
Vrancich, Maja ; Matetić, Maja

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 22th international multiconference information society—IS / Blažica, Bojan ; Čopič Pucihar, Klen ; Kljun, Matjaž ; Kožuh, Ines ; Žabkar, Jure - Ljubljana : Institut Jožef Stefan, 2019, 13-16

Skup
22nd International Multiconference Information Society (IS 2019)

Mjesto i datum
Ljubljana, Slovenija, 07.10.2019. - 08.10.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Data analysis, stream data, time-series data, sports medicine, heart rate

Sažetak
In statistics, exploratory data analysis (EDA) is an approach to analyzing datasets to summarize their main characteristics, often with visual methods. A statistical model may optionally be used, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis-testing task. In this paper, we focus on analyzing stream data for the sports medicine domain, collected with a Polar M400 sports watch, with the aim of predicting the heart rate that the athlete must sustain on each race segment in order to achieve the best overall result (finishing time). We first provide an overview of data analyzing models for stream data. Next, we present related work, our data, and preliminary insights from visualizations after data preprocessing. Finally, we conclude the paper with a summary and future work.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA