Web Based Data Visualization Dashboard for Sensor and Pose Estimation Data

被引：0

作者：

Krause, Moritz ^{[1
]}

Zoellner, Michael ^{[1
]}

机构：

[1] Hof Univ, Alfons Goppel Pl 1, D-95028 Hof, Germany

来源：

HCI INTERNATIONAL 2024 POSTERS, PT VII, HCII 2024 | 2024年 / 2120卷

关键词：

Machine Learning; Pose Estimation; Data Visualization; Dashboard; Motion Sensing; Web Technologies;

D O I：

10.1007/978-3-031-62110-9_31

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Our proposed visual dashboard aims to facilitate training progress evaluation in sports like skateboarding and foil pumping by offering real-time sensor and camera data processing through machine learning-based pose estimation. The web-based application, developed in HTML, CSS, and JavaScript utilizing p5js and Google Charts frameworks, enables athletes to visualize and analyze their movements for efficient and safe performance without the need for app installation on various devices. This paper will delve into the advantages and challenges of the web-based approach, detailing data structures, synchronization techniques, and plans for future enhancements likeWeb BLE connectivity and improved user experience across different devices.

引用

页码：291 / 296

页数：6