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Ubiquitous systems are becoming an integral part of our everyday lives. Functionality and user experience often depends on accurate, sensor-based activity recognition and interaction. Systems aiming to provide the user with assistance or to monitor their behavior and condition rely heavily on sensors and the activities and interactions that they can recognize. Providing adequate activity recognition and interaction requires consideration for particular elements: sensors that are capable of capturing relevant behavior, methods that reason about sensor readings in the context of these behaviors, and appropriate methods for assisting and interacting with the user. All of these aspects are essential and can influence the quality and suitability of the provided service.

Objective of iWOAR 2019 — the 6th International Workshop on Sensor-based Activity Recognition and Interaction — is to discuss these challenges and possible solution approaches. The workshop focuses on:
  1. sensors, sensor infrastructures, and sensing technologies needed to detect user behaviors and to provide relevant interactions between systems and users
  2. data and model-driven methods for intelligent monitoring and user assistance that supports users in everyday settings
  3. novel applications and evaluation studies of methods for intelligent monitoring of everyday user behavior and user assistance using sensing technologies
  4. intelligent methods for synthesizing assistance and interaction strategies using sensing technologies
iWOAR 2019 aims to foster the relationship between academia and industry. We strongly encourage industry participants to present challenges, ideas, experiences, novel applications, and studies of existing methods. Accepted industrial papers will be presented in an industrial session during the workshop.


The topics of the workshop include, but are not limited to:
  • Human activity recognition
  • Healthcare systems
  • Cognitive systems
  • Knowledge representation and reasoning
  • Expert Systems
  • NLP for intelligent systems
  • Ontologies for intelligent systems
  • Knowledge acquisition for intelligent systems
  • Assistive systems in the healthcare and manufacturing
  • Novel applications for assessing everyday behavior
  • Smart homes
  • Behavior monitoring and interpretation
  • Human performance measuring
  • Interaction techniques
  • Intelligent user interfaces
  • Input & output modalities
  • Wearable computing and wearable sensing
  • Context awareness
  • Data mining and machine learning for sensor-based intelligent systems
  • Signal reconstruction and interpolation
  • Innovative wearable sensing technologies
Negative Results Track

The iWOAR 2019 Program Comittee would like to encourage the submission of papers which describe negative but relevant results, in the above listed fields. We believe that negative results are an important contribution to the field, because they allow us to gain insights into the limits of existing algorithms. Papers describing negative results must address the following points:
  1. Precise description of the application domain
  2. Precise description of the algorithmic approach
  3. Argumentation why this approach seemed promising, e.g., by describing a previous related study in which it has been used successfully
  4. Expected and observed results
  5. Description of performed sanity checks to exclude bugs

All submissions undergo a peer review process to ensure the presentation of high quality content. Accepted submissions will be published in the iWOAR 2019 Proceedings. Papers are to be submitted through the EasyChair submission system.

Paper Format

The ACM SIGCHI paper format should be used with a maximum total length of 6 pages (including references and appendices), although paper length can be flexible for outstanding contributions up to an absolute limit of 12 pages: ACM SIGCHI Templates


Papers are to be submitted through the EasyChair submission system.
Important Dates
Paper Submission Deadline
30. June 2019 - 23.59 (AoE)

Author‘s Notification
15. August 2019 - 23.59 (AoE)

Registration Deadline
31. Augut 2019

Date of Event
16. ‐ 17. September 2019

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