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Open positions for Doctoral Students (Ph.D.) and Postdoctoral Researchers in Digital Health with emphasis on Connected Health available

Editorial Wearable Therapy – Detecting Information from Wearables and Mobiles that are Relevant to Clinical and Self-directed Therapy has been accepted for publication in Methods of Information in Medicine, 2017

Paper Detecting Anxiety States when Caring for People with Dementia has been accepted for publication in Methods of Information in Medicine, 2017

Paper Variability analysis of therapeutic movements using wearable inertial sensors has been accepted for publication in Journal of Medical Systems, 2017

Paper Semi-supervised Model Personalization for Improved Detection of Learner’s Emotional Engagement accepted for ICMI 2016

Paper mk-sense: An extensible platform to conduct multi-institutional mobile sensing campaigns accepted for UCAmI 2016

Paper Towards an emotional engagement model : Can affective states of a learner be automatically detected in a 1 : 1 learning scenario? accepted for PALE 2016

Paper What good leaders actually do: Micro-level leadership behavior, leader evaluations, and team decision quality accepted in European Journal of Work and Organizational Psychology, 2016

Paper Exploring the link between behaviour and health available online in Personal and Ubiquitous Computing Journal 2015

Paper Mobile phones as medical devices in mental disorder treatment: an overview available online in Personal and Ubiquitous Computing Journal 2015

9th International Conference on Pervasive Computing Technologies for Healthcare


2015 Wearable Computing

CmpE 585 Course, Monday 14:00 - 17:00, Room ETA B5

The computers of the 21st Century will consist of “the most profound technologies … that disappear - they weave themselves into the fabric of everyday life until they are indistinguishable from it” - Mark Weiser.

This lecture provides an introduction into wearable computing by combining relevant methods, tools and practical applications from research and industry.

Methods include wearable and ambient sensor data processing, basic statistical methods and relevant methods from machine learning and data mining.

Applications include activity recognition in daily life, human emotion detection, social signal processing, and the smartphone as a wearable computer.

There are no special requirements to attend this lecture since all needed background knowledge is provided within the courses.


Write your own research proposal and conduct a feasibility study!

Please find all details about the examination in the handouts of the first lecture: 2015_09_28_cmpe_585_wearable_computing_01_intro.pdf

Important Dates

  • October 25: Project Idea and Motivation
  • November 8: State of the Art
  • November 9: Midterm Presentation
  • November 29: Research proposal
  • December 13: Feasibility Study
  • December 14: Final Presentation


  • Team 10: Dental Mouth Guard with Force Sensitive Resistors to detect Sleep Bruxism

Lecture Program

Introduction into Wearable Computing (2015-09-28)

Smart Assistants (2015-10-05 and 2015-10-12)

Tools (2015-10-19)

Context Awareness I (2015-10-26)

Context Awareness II (2015-11-02)

  • Characterizing persons and objects around
    • Who is around: strangers, friends, colleagues, family, etc?
    • How many persons are around: alone, crowd, etc. ?
    • What kind of objects are around: fruits, cups, etc. ?
  • Characterizing places visited:
    • What kind of places visited: a café, a football stadium, etc. ?
    • How is the ambient temperature/noise/lightening/etc. ?

Smartphone Sensing (2015-11-23 and 2015-11-30)

  • Smartphone Sensing Frameworks
  • Student Projects employing Smartphone Sensing
    • Context-Aware Mobile Diary
    • Sensing Lifestyle in Urban and Rural Environments
  • Participatory vs. Opportunistic Sensing
  • Sensing Scales: individual, group, community
  • Persuasive Interfaces

Crowd Sensing (2015-12-07)


The Computer for the 21st Century
Mark Weiser
Scientific American Special Issue on Communications, Computers, and Networks, 1991

What does your chair know about your stress level?
B. Arnrich, C. Setz, R. La Marca, G. Tröster and U. Ehlert
IEEE Transactions on Information Technology in Biomedicine, 14:2, pp 207-214, 2010

Recognizing Turns and Other Snowboarding Activities with a Gyroscope
T. Holleczek, J. Schoch, B. Arnrich and G. Tröster
IEEE International Symposium on Wearable Computers, pp 1-8, 2010

Design, Implementation and Evaluation of a Multimodal Sensor System Integrated Into an Airplane Seat
Bert Arnrich, Cornelia Kappeler-Setz, Johannes Schumm, Gerhard Tröster
Sensor Fusion: Foundation and Applications, INTECH, 2011

ECG Monitoring in an Airplane Seat: Appraising the Signal Quality
J. Schumm, B. Arnrich and G. Tröster
IEEE Pervasive Computing Journal, 11:4, pp. 28-34, 2012

Sleep Quality Monitoring with the Smart Bed
Daniel Waltisberg, Bert Arnrich, Gerhard Tröster
Pervasive Health - State-of-the-art and Beyond. Human–Computer Interaction Series, Springer London, 211-227, 2014

pub/lectures/2015_wearable_computing/start.txt · Last modified: 2016/03/17 14:11 by barnrich