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Human Motion Analysis for Healthcare App 2016 : Human Motion Analysis for Healthcare Applications

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Link: http://www.theiet.org/events/2016/233291.cfm?utm_source=redirect&utm_medium=any&utm_campaign=motion-analysis?origin=wiki
 
When May 19, 2016 - May 19, 2016
Where IET London: Savoy Place
Submission Deadline Mar 21, 2016
Notification Due Mar 4, 2016
Final Version Due Mar 21, 2016
Categories    biomechanics   computational techniques for h   challenges and opportunities i   action recognition
 

Call For Papers

Advances in technology that capture human motion have been quite remarkable during the last five years. New sensors have been developed, such as the Microsoft Kinect, Asus Xtion Pro live, PrimeSense Carmine and Leap Motion. Their main advantages are their non-intrusive nature, low cost and widely available support for developers offered by large corporations or Open Communities. Although they were originally developed for computer games, they have inspired numerous healthcare related ideas and projects in areas such as Medical Disorder Diagnosis, Assisted Living, Rehabilitation and Surgery.

In Assisted Living, human motion analysis allows continuous monitoring of elderly and vulnerable people and their activities to potentially detect life-threatening events such as falls. Human motion analysis in rehabilitation provides the opportunity for motivating patients through gamification, evaluating prescribed programmes of exercises and assessing patients’ progress. In operating theatres, surgeons may use a gesture-based interface to access medical information or control a tele-surgery system. Human motion analysis may also be used to diagnose a range of mental and physical diseases and conditions.

This event will discuss recent advances in human motion sensing and provide an application to healthcare for networking and exploring potential synergies and collaborations.

Call for participation
Abstracts are invited from academia, industry and healthcare professionals related to healthcare applications of human motion analysis. The event programme will include keynote presentations and oral and poster presentations of accepted abstracts.

Topics of interest include but are not limited to:

Computational Techniques for Human Motion Analysis
Biomechanics
Challenges and Opportunities in Healthcare for Human Motion Analysis
Gesture Recognition
Action Recognition
Action Quality
Facial Expression Recognition
Gait Analysis
Fall Detection
People Tracking and Identification
Re-identification
Identity Concealment
Gamification and Serious Games
Related to healthcare applications such as:

Rehabilitation
Assisted Living
Activity Monitoring
Medical Surgery
Gesture Based Interfaces
Diagnosis of Medical Disorders
Behavioural Change for Healthy Living

To submit an abstract please use this template and submit in PDF format to Sophie Smith at SophieSmith@theiet.org by the 21st March 2016. Papers should be in their final format including names of authors and institutions, as the review is single-blind (not double blind).

Key dates
21 March 2016 - Submission of abstracts

04 April 2016 - Notification of acceptance

19 May 2016 - Event date


Programme
Full programme to be confirmed at a later date

Keynote speaker
Dr Cecily Morrison, Researcher in the Human Experience & Design (HXD) group, Microsoft Research Cambridge

Reasons to attend
This event is an opportunity for people from different disciplines such as computer science, computer vision, biomedical engineering, biomechanics, rehabilitation, assisted living and medicine.

Additionally, from multiple sectors, academia, industry and healthcare, to find out about recent advances in human motion sensing and their application to healthcare, for networking and exploring potential synergies and collaborations.

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