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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:2013_wearable_computing:start

2013 Wearable Computing

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

Start: Thursday, 26th September 2013


Intro

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 new 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 !

Please find all details about the examination here: 2013_09_wearable_computing_lecture_examination_v2.pdf

Content and Deadlines

  • 24th October: Project Idea / Motivation (2 pages) on “Which problems can be solved with wearable computing in Turkey?”
  • 7th November: State of the Art related to your project (3 pages)
  • 12th December: Your new proposal on your innovative approach beyond SoA (10 pages)
  • 19th December: Final Proposal + Presentation

Teams

The proposal writing and presentation will be conducted in the following teams:

  • Team 1: Tracking Elderly People
    • İsmail Kahraman
    • Sabri Şahin
    • Nur Kılıçlı
  • Team 2: Wearable Wireless Sensor Application for Back and Neck Health Monitoring
    • Cagatay Sonmez
    • Emre Kaya
    • Şeyma Erdem
  • Team 3: Investigating the Relationship between Mirror Neuron Activity and Mimicry Response in an Imitation Game with Human and Robot
    • Bınnur Görer
    • Arzu Guneysu
    • Ceyhun Alp
  • Team 4: Activity and Sleep Tracking
    • Murat Yagci
    • Hasan Faik Alan
  • Team 5: Bracelet for deaf people
    • Yasemin Timar
    • Cıgdem
    • Nezihe Pehlivan
  • Team 6: Simple Calorie Calculation System
    • Can Tunca
    • Can Güven
    • Sinem Kafiloglu
  • Team 7: A Personal Assistant for Elderly -ELAS- Using Simple Cell Phone Sensors
    • Akif Cem Heren

Lecture Program

Introduction and Motivation (2013-09-26)

  • Computers of the 21st century
  • Content of the course
  • Intro Smart Assistant
    • Personal Stress / Snowboard / Airplane Assistant
    • Smart Bed
    • Wearable Reaction Time Test
    • Smartphone = Wearable Computer ?
  • Lessons learned

Activity Recognition Intro (2013-10-03)


Basic Concepts of Statistics (2013-10-10)

  • General approach of statistical data analysis
  • Hypothesis testing
  • Student’s t-Test (one-sample, two-sample, paired/independent samples)
  • ANOVA (one-way, one-way repeated, two-way mixed)
  • Chi-Square Test

Intro signal processing methods in Wearable Computing (2013-10-24)


Smart Phone Sensing (2013-10-31)

  • Smart Phone Sensing Frameworks
  • Sensing: Participatory vs. Opportunistic
  • Sensing Scales: individual, group, community
  • Interpreting Sensor Data
  • Closing the Sensor Loop: inform, share and persuade
  • Examples of research prototypes and commercial systems

Crowd Sensing (2013-11-07)

  • Mobile Sensor Networks
  • Smart Phones for Crowd Characteristic Monitoring
    • Mobile Bluetooth scanning
    • Crowd density estimations
    • Real-time monitoring framework
  • Place Characterization with Opportunistic Crowd Sensing

Crowd Sensing Part 2 (2013-11-14)

  • Characterizing Places with Opportunistic CrowdSensing
  • WiFi fingerprint similarity
  • State-of-the-Art classifiers
    • Optical Character Recognition
    • Indoor Scene Classification
    • Object Recognition
    • Speech Recognition
    • Sound Classification
  • Place Modeling

Research proposal State-of-the-Art presentations (2013-11-21)

  • Each team is going to present “their” SoA approaches
    • 1-2 slides about project goal/objective
    • 5-10 slides about SoA: strengths and limitations

Affective Computing (2013-11-28)

  • 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 (2013-12-05)

  • 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

Monitoring Cognitive Load and Performance (2013-12-12)


Project Presentation Part 1 (2013-12-19)

  • Team 1: Tracking Elderly People
  • Team 2: Wearable Wireless Sensor Application for Back and Neck Health Monitoring
  • Team 3: Wearable Computing Project Proposal: Investigating the Relationship between Mirror Neuron Activity and Mimicry Response in an Imitation Game with Human and Robot
  • Team 6: Simple Calorie Calculation System

Project Presentation Part 2 (2013-12-26)

  • Team 4: Activity and Sleep Tracking
  • Team 5: Wrist Watch for Deaf People
  • Team 7: A personal assistant for elderly using simple cell phone sensors

Literature

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


One IMU is Sufficient: A Study Evaluating Effects of Dual-Tasks on Gait in Elderly People
R. Adelsberger, N. Theill, V. Schumacher, B. Arnrich, G. Tröster
Proceedings of International Conference on Wireless Mobile Communication and Healthcare, 2012


A data-driven approach to kinematic analysis in running using wearable technology
C. Strohrmann, M. Rossi, B. Arnrich and G. Tröster
Proceedings of the 9th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2012


An IMU-based Sensor Network to Continuously Monitor Rowing Technique on the Water
B. Tessendorf, F. Gravenhorst, B. Arnrich and G. Tröster
Proceedings of International Conference on Intelligent Sensors, Sensor Networks and Information Processing, pp 253-258, 2011


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


Unsupervised Monitoring of Sitting Behavior
B. Tessendorf, B. Arnrich, J. Schumm, C. Setz and G. Tröster
International Conference of the IEEE Engineering in Medicine and Biology Society, pp 6197-6200, 2009


Combining Worthless Sensor Data
C. Setz, J. Schumm, C. Lorenz, B. Arnrich and G. Tröster
Measuring Mobile Emotions Workshop at MobileHCI, 2009


Using Ensemble Classifier Systems for Handling Missing Data in Emotion Recognition from Physiology: One Step Towards a Practical System
C. Setz, J. Schumm, C. Lorenz, B. Arnrich and G. Tröster
International Conference on Affective Computing and Intelligent Interaction, pp 187-194, 2009


CoenoFire: Monitoring Performance Indicators of Firefighters in Real-world Missions using Smartphones
S. Feese, B. Arnrich, G. Tröster, M. Burtscher, B. Meyer and K. Jonas
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013), pp 83-92, 2013


Quantifying Behavioral Mimicry by Automatic Detection of Nonverbal Cues from Body Motion
S. Feese, B. Arnrich, G. Tröster, B. Meyer and K. Jonas
Proceedings of ASE/IEEE International Conference on Social Computing, pp 520-525, 2012


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


Implementation and Evaluation of Wearable Reaction Time Tests
B. Cinaz, C. Vogt, B. Arnrich and G. Tröster
Pervasive and Mobile Computing Journal, 2012, 8:6, pp 813–821, 2012


A Case Study on Monitoring Reaction Times with a Wearable User Interface during Daily Life
B. Cinaz, B. Arnrich, R. La Marca and G. Tröster
International Journal of Computers in Healthcare, 1:4, pp 283-303, 2012


Detecting Posture Mirroring in Social Interactions with Wearable Sensors
S. Feese, B. Arnrich, G. Tröster, B. Meyer and K. Jonas
IEEE International Symposium on Wearable Computers, pp 119-120, 2011


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


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


Towards Measuring Stress with Smartphones and Wearable Devices During Workday and Sleep
Amir Muaremi, Bert Arnrich, Gerhard Tröster
BioNanoScience, 2013


pub/lectures/2013_wearable_computing/start.txt · Last modified: 2015/09/09 11:35 by barnrich