Automated Recognition and Difficulty Assessment of Boulder Routes

André Ebert; Kyrill Schmid; Chadly Marouane; Claudia Linnhoff-Popien

Internet of Things (IoT) Technologies for HealthCare. 4th International Conference, HealthyIoT 2017, Angers, France, October 24-25, 2017, Proceedings

Research Article

Automated Recognition and Difficulty Assessment of Boulder Routes

Download

230 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-319-76213-5_9,
    author={Andr\^{e} Ebert and Kyrill Schmid and Chadly Marouane and Claudia Linnhoff-Popien},
    title={Automated Recognition and Difficulty Assessment of Boulder Routes},
    proceedings={Internet of Things (IoT) Technologies for HealthCare. 4th International Conference, HealthyIoT 2017, Angers, France, October 24-25, 2017, Proceedings},
    proceedings_a={HEALTHYIOT},
    year={2018},
    month={2},
    keywords={Machine learning Activity recognition and assessment Climbing and bouldering},
    doi={10.1007/978-3-319-76213-5_9}
}

André Ebert
Kyrill Schmid
Chadly Marouane
Claudia Linnhoff-Popien
Year: 2018
Automated Recognition and Difficulty Assessment of Boulder Routes
HEALTHYIOT
Springer
DOI: 10.1007/978-3-319-76213-5_9

André Ebert¹^,*, Kyrill Schmid¹^,*, Chadly Marouane¹^,*, Claudia Linnhoff-Popien¹^,*

1: Ludwig-Maximilians-University

*Contact email: andre.ebert@ifi.lmu.de, kyrill.schmid@ifi.lmu.de, chadly.marouane@ifi.lmu.de, linnhoff@ifi.lmu.de

Abstract

Due to fast distribution of powerful, portable processing devices and wearables, the development of learning-based IoT-applications for athletic or medical usage is accelerated. But besides the offering of quantitative features, such as counting repetitions or distances, there are only a few systems which provide qualitative services, e.g., detecting malpositions to avoid injuries or to optimize training success.

Keywords: Machine learning Activity recognition and assessment Climbing and bouldering

Published: 2018-02-21
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-76213-5_9

Automated Recognition and Difficulty Assessment of Boulder Routes

Abstract

About EAI

Community

Publish with EAI