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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:2016_wearable_computing:start

2016 Wearable Computing

CmpE 585 Course, Monday 12:15 - 15:00, Room BM 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.


Examination

Write your own research proposal and conduct a feasibility study!

Please find all details about the examination in the handouts of the first lecture: 2016_09_19_cmpe_585_wearable_computing_01_intro.pdf

Important Dates

  • October 16: Proposal Draft
  • October 30: State of the Art
  • October 31: Midterm Presentation
  • November 13: Research proposal
  • December 4: Feasibility Study
  • December 5: Final Presentation

Teams

  • Team 1: Smart Watch Based Medical Emergency Detection, Ahmet Yıldırım and Görkem Karadeniz
  • Team 2: SleepFit, Şahin Batmaz and Özgür Akyazı
  • Team 3: Cat feeding map, Niaz Chalabianloo
  • Team 4: Wearable Fatigue Detection Tool, Murat Arı
  • Team 5: Stress Assistant, Buse Buz and Dursun Ahmet Keleş
  • Team 6: SmartRun for Beginners, Fazilet Çilli
  • Team 7: Crime based route advisor for urban environments, Mehmet Köse and Hakan Demirel

Lecture Program

Introduction into Wearable Computing (2016-09-19)

Smart Assistants (2016-09-26 and 2016-10-03)

Tools (2016-10-10)

Context Awareness I (2016-10-17)

Smart Watch (2016-10-24)

  • Data collection and labeling with the “UBI Health Sensor Sample” app
  • Smart watch sensor data export
  • Data exploration
  • Data Import
  • Data Visualization

Context Awareness II (2015-11-07)

  • 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 (2016-11-14 and 2016-11-21)

  • 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 (2016-11-28)

pub/lectures/2016_wearable_computing/start.txt · Last modified: 2016/11/28 10:04 by barnrich