Keynote: Open Wearable Computer Systems and Applications.

Annual IEEE International Conference on Pervasive Computing and Communications(2024)

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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.
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Key words
Computer System,Wearable Computing,Machine Learning,Research And Development,Development Projects,Application Areas,Sensor Technology,Field Of Computing,Human Activity Recognition,Lowest Utilization,Usability,Heart Rate Variability,Inner Ear
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