ADL Detection Challenge at IEEE Healthcom 2016 Conference

ADL Detection Challenge – Call for Participation

At the 18th IEEE International Conference on E-health Networking, Application  & Services (IEEE Healthcom’16) in Munich, September 14-17, 2016, an ADL detection challenge will be performed. The ADL (Activities of Daily Life) detection challenge will be organized as a half-day workshop within the conference taking place at the BMW Welt. We kindly ask for you participation in the challenge described below.

Motivation

Automatic recognition and surveillance of the regular occurrence of ADLs – activities of daily life like tooth brushing, shaving, drinking, eating, combing, writing and more – can help in detecting accidents in the household or gradual changes in the behavior of elderly persons. In detail, the identification of health critical situations like dehydration, tumbles or disorientation is of great importance. If the elderly persons are suffering from mild cognitive impairment (MCI) of beginning dementia and a potentially dangerous situation is detected, external help can be alerted automatically in order to clarify the situation, to prevent further damages or mitigate them.

Smartwatches and wearables are ideal tools collecting necessary data with their embedded sensors and applying various recognition algorithms for detecting ADLs based on these data. The advantage of these wearables technologies is their “invisibility”, meaning others will not immediately recognize that a wearer may have a handicap. This is in contrast to other products which typically stigmatize their users (e.g. emergency alert wrist bands resp. buttons).

This challenge is targeting to bring together developers, researchers and companies who want to demonstrate their achievements in this area.

Organization of the Challenge

A set of training data from real ADLs together with their classification will be made available through this web site. Interested participants can download the training data after registration and create detection models for the data. Participants are completely free how to implement their detection task. The only restriction is that later on participants must be able to run their models in real time in the workshop.

In the workshop the organizers will distribute several test data, also from real ADLs. The participants can then use their trained models to run and classify the test data and prepare their classification results in a standardized way. They will have about 60 minutes for this task. After this the participants show and explain their models, solutions and classifications results in a short presentation. After the presentations the best solution is chosen and receives a prize. This is followed by a general discussion and roundup of the workshop.

Time Table

Action Start End
Distribution of ADL training data including documentation May, 1st, 2016
Registration for challenge for articipants May, 1st, 2016 August, 31th, 2016
Preparing and implementing the solution / model by participants May, 1st, 2016 Workshop
Preparing a description and presentation
of the solution / model developed by participants
May, 1st, 2016 Workshop

Structure of the workshop (3,5 h)

Agenda Time
Introduction to the ADL challenge and explanation of the rules for the challenge 15 minutes
Distribution of ADL test data 15 minutes
Applying their solution / model to the test data by the participants of the challenge 60 minutes
Presentation of the different solutions by the teams participating in the challenge 90 minutes
Selection and awarding the best solution 10 minutes
Discussion und roundup 20 minutes

Target Audience

Developers, companies and researchers actively working in the wearable and smartwatch area

Workshop Chair

Prof. Dr. Klemens Waldhör
klemens.waldhoer@fom.de
FOM Hochschule für Oekonomie & Management gemeinnützige GmbH
Hochschulstudienzentrum Nürnberg
City Park Center, Zeltnerstr. 19, D90443 Nürnberg, Germany

Workshop CoChair

Dr.-Ing. Rainer Lutze
rainer.lutze@lustcon.de
Dr.-Ing. Rainer Lutze Consulting
Wachtlerhof
Wilhermsdorfer Str.14
D90579 Langenzenn, Germany

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Ein Bild unserer Blog Autoren Rainer Lutze und Klemens Waldhör

Rainer Lutze und Klemens Waldhör

Dr. Rainer Lutze ist Gründer und Inhaber der Unternehmensberatung Dr.-Ing. Rainer Lutze Consulting. Dr. Klemens Waldhör ist Professor für Wirtschaftsinformatik an der FOM Hochschule für Ökonomie und Management in Nürnberg. Rainer Lutze und Klemens Waldhör berichten hier regelmäßig über relevante Entwicklungen des geschäftsmäßigen Einsatzes von Wearables. Einen Schwerpunkt bilden die Verwendung von Smartwatches in den Bereichen digitale Gesundheit und Pflege, E-Health.

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