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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

pub:lectures:2014_wearable_computing:start

2014 Wearable Computing

CmpE 585 Course, Tuesday 14:00 - 16:50, Room ETA A3

Start: Tuesday, 23rd September 2014

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.


Examination

Write your own research proposal and conduct a feasibility study!

Please find all details about the examination here: 2014_09_wearable_computing_lecture_examination.pdf

Feasibility study proposals for all teams are available from here: 2014_09_wearable_computing_examination_feasibility_studies.pdf

Important Dates

  • October 26: Project Idea and Motivation
  • November 9: State of the Art
  • November 11: Midterm Presentation
  • November 30: Research proposal
  • December 14: Feasibility Study
  • December 16: Final Presentation

Teams


Lecture Program

Introduction Wearable Computing (2014-09-23)

  • Wearable Computing in Turkey
  • Computers for the 21st century
  • Content of the course
  • Intro Smart Assistant
    • Personal Stress Assistant
    • Personal Snowboard Assistant
    • Personal Airplane Assistant
    • Smart Bed

Context Aware Computing (2014-09-30)

  • Intro Context-aware computing
  • Characterizing the User: Activity, Localization, Persons around, Places visited, etc.
  • Activity recognition
  • Smartphone Data Collection
  • Indoor Localization
  • Scan device identifiers around
  • Place Characterization

Smartphone Sensing (2014-10-21)

Crowd Sensing (2014-11-04)

Midterm Presentation (2014-11-11)

  • Team 2: Smart Obstacle Warning System for Visually Impaired People
  • Team 3: Face Recognition for the Blind
  • Team 4: Driving Quality and Accident Analysis System
  • Team 5: BUDDY Personal Health Care Assistant
  • Team 6: Smart Glass to Support Visually and Hearing Impaired People
  • Team 7: Backjack chair cover
  • Team 8: Diabetes Monitoring System
  • Team 9: Waking Up Ring
  • Team 10: UpMOOD
  • Team 11: Exoskeleton for the Mobility-Impaired

Affective Computing (2014-11-18)

  • Intro Affective Computing
  • Sensing of Physiological adjustments to arousing conditions
    • Facial Expression
    • Voice
    • Body Movement
    • Posture
    • Respiration
    • Heart Rate Variability
    • Temperature
    • Electrodermal Response
    • Electromyogram
    • Electrooculogram
  • Emotion Elicitation: pictures, movies, music, psychological approaches, daily life
  • Ground Truth estimation

Affective Computing Part 2 (2014-11-25)

  • Movie selection for inducing the desired emotions
  • Partial data loss in multi-sensor systems
    • Missing value imputation
    • Reduced feature model + Classifier fusion
  • Natural emotion elicitation when watching world cup soccer matches
    • Automatic label generation by employing ticker event data
    • Arousal Labeling using Emotional Ticker Texts
    • Fuzzy C-Means Clustering
    • Modeling of emotions

Basic Concepts of Statistics (2014-12-02)

Monitoring Cognitive Load and Performance (2014-12-09)

  • Subjective Assessment
  • Performance based assessments
    • Primary/secondary task performance
    • Car driving simulators
    • Wearable reaction time test
  • Physiological measures
    • Wearable/ambient sensing
    • Individual calibration procedures

Final Presentation (2014-12-16)

  • Team 2: Smart Obstacle Warning System for Visually Impaired People
  • Team 3: Face Recognition for the Blind
  • Team 5: BUDDY Personal Health Care Assistant
  • Team 6: Smart Glass to Support Visually and Hearing Impaired People
  • Team 7: Backjack chair cover
  • Team 8: Diabetes Monitoring System
  • Team 9: Waking Up Ring
  • Team 10: UpMOOD
  • Team 11: Exoskeleton for the Mobility-Impaired

Final Presentation (2014-12-23)

  • Team 4: Driving Quality and Accident Analysis System
  • Team 9: Waking Up Ring
  • Team 10: UpMOOD
  • Team 11: Exoskeleton for the Mobility-Impaired
pub/lectures/2014_wearable_computing/start.txt · Last modified: 2015/09/09 11:33 by barnrich