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Keynote: Open Wearable Computer Systems and Applications

Beigl, Michael ORCID iD icon 1
1 Institut für Telematik (TM), Karlsruher Institut für Technologie (KIT)

Abstract:

This keynote addresses the simplified access of sensor technologies and machine learning in the field of wearable computing, highlighting important contributions of the OpenEarable project and EdgeML. The aim is to achieve the lowest possible utilisation threshold so that even complex research and development projects in the field of wearable computing can be carried out quickly and easily, with the area of application being human activity recognition (HAR), but also more specific areas. In my presentation, I will focus in particular on the area of health.


Originalveröffentlichung
DOI: 10.1109/PerComWorkshops59983.2024.10503108
Zugehörige Institution(en) am KIT Institut für Telematik (TM)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 11.03.2024
Sprache Englisch
Identifikator ISBN: 979-8-3503-0437-4
ISSN: 2836-5348
KITopen-ID: 1000190946
Erschienen in 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Biaritz, 11th-15th March 2024
Veranstaltung IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM 2024), Biarritz, Frankreich, 11.03.2026 – 15.03.2026
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 31
Serie Conferences
Schlagwörter Conferences, Machine learning, Human activity recognition, Wearable devices, Research and development
Nachgewiesen in OpenAlex
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