BEGIN:VCALENDAR
VERSION:2.0
PRODID:https://github.com/derhansen/sf_event_mgt
METHOD:PUBLISH
BEGIN:VEVENT
UID:5688-409@gi.de
CLASS: PUBLIC
SUMMARY:8th international Workshop on Sensor-Based Activity Recognition and
  Artificial Intelligence
DESCRIPTION:The iWOAR is an international workshop with conference characte
 r, which is organised by the Technische Hochschule Lübeck, the University o
 f Lübeck and Fraunhofer IMTE, in-cooperation with ACM. This year's workshop
  will be held in Lübeck (Germany) between September 21-22, 2023. The worksh
 op focuses on Human Activity Recognition and Artificial Intelligence with w
 earable sensors and related technologies. This year’s symposium will featur
 e as keynote speaker the presence of Prof. Dr. Björn Eskofier, head of the 
 Machine Learning and Data Analytics at the Friedrich-Alexander-Universität 
 Erlangen-Nürnberg (FAU) (Germany), and prominent name in the field of medic
 al wearable computing.\n\nAll scientific submissions undergo a peer review 
 process to ensure that high quality content is being presented. We invite s
 ubmissions which target (but are not limited to) the following topics and a
 pplications:\n\n 	Human Activity Recognition 	Human Centred Artificial Inte
 lligence 	Human Centred Machine Learning 	Human Data Imputation / Augmentat
 ion / Representation / Classification 	Human Behaviour Intention Recognitio
 n 	Quantified Self 	Affective Computing 	Context Awareness 	Human Computer 
 Interaction 	Intelligent User Interfaces 	Pervasive & Wearable Computing 	C
 yber Physical & Human Systems 	Assistive Technologies 	Ambient Assisted Liv
 ing 	Active & Healthy Ageing 	Personalised Diagnostics and Therapy 	Telemed
 icine and Biotechnology 	Occupational Safety, Healthcare and Wellness 	Indu
 stry 4.0 	Smart Cities & Urban Environments 	Digital Health \n\nWe invite f
 or academic research papers and for best-practice industrial research appro
 aches. The iWOAR 2023 will feature both a paper track and a poster track, w
 ith all submissions being handled via EasyChair (submission link: https://e
 asychair.org/my/conference?conf=iwoar2023):\n\nPaper track: submissions mus
 t follow the ACM SIGCHI Paper Format. The submission deadline is set to Jun
 e 1, 2023.\n\nPoster track: submissions must follow the ACM SIGCHI Extended
  Abstract Format. The submission deadline is set to August 1, 2023.\n\nAcce
 pted submissions to the paper track will be published in the iWOAR 2023 Pro
 ceedings online in the ACM Digital Library.\n\nWebsite: https://iwoar.org/2
 023/\n\nPaper submission link: https://easychair.org/my/conference?conf=iwo
 ar2023
LOCATION:Fraunhofer IMTE
DTSTAMP:20230511T073549Z
DTSTART:20230921T080000Z
DTEND:20230922T120000Z
END:VEVENT
END:VCALENDAR