Lehrstuhl für Angewandte Softwaretechnik
Chair for Applied Software Engineering

 

Juan5

Dr. Juan Haladjian

haladjia (at) in.tum.de

Technische Universität München
Institut für Informatik I1

Boltzmannstraße 3
D-85748 Garching b. München
Germany

Office: 01.07.53
Tel: +49 (0)89 289 18235

LinkedIn

 

 

PhD Thesis

TangoHapps - An Integrated Development Environment for Smart Textiles


Research

  • Wearable, mobile ubiquitous computing, smart textiles
  • Signal processing, machine learning, pattern recognition
  • Application fields: sports, health/rehabilitation, animal-computer interaction

Teaching

Conferences

 Scientific Event Organisation

  • Member of the Steering committee of the ACM Animals Computer Interaction (ACI) conference.
  • Reviewer for Sensors Journal.

 Selected Publications

  • J. Haladjian, J. Haug, S. Nüske, and B. Bruegge, “A Wearable Sensor System for Lameness Detection in Dairy Cattle,” Multimodal Technol. Interact., vol. 2, no. 2, p. 27, 2018. [Details, BibTeX]
  • J. Haladjian, K. Bredies, and B. Bruegge, “KneeHapp Textile: A Smart Textile System for Rehabilitation of Knee Injuries,” in Proceedings of the 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2018. [Details, BibTeX]
  • J. Haladjian, Z. Hodaie, S. Nüske, and B. Brügge, “Gait Anomaly Detection in Dairy Cattle,” in Proceedings of the Fourth International Conference on Animal-Computer Interaction, 2017, p. 8:1--8:8. [Details, BibTeX]
  • J. Haladjian, A. Ermis, Z. Hodaie, and B. Brügge, “iPig: Towards Tracking the Behavior of Free-roaming Pigs,” in Proceedings of the Fourth International Conference on Animal-Computer Interaction, 2017, p. 10:1--10:5. [Details, BibTeX]
  • J. Haladjian, C. Scheuermann, K. Bredies, and B. Bruegge, “A Smart Textile Sleeve for Rehabilitation of Knee Injuries,” in Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017, pp. 49–52. [Details, BibTeX]
  • J. Haladjian, B. Brügge, and S. Nüske, “An approach for early lameness detection in dairy cattle,” in Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017, pp. 53–56. [Details, BibTeX]
  • J. Haladjian, A. Ermis, B. Brügge, W. Plötz, and P. Buschner, “Supporting rehabilitation after hip replacement with a mobile device carried in a pocket,” in Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017, pp. 452–457. [Details, BibTeX]
  •  J. Haladjian, M. Reif, and B. Brügge, “VIHapp: a wearable system to support blind skiing,” in Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017, pp. 1033–1037. [Details, BibTeX]
  • J. Haladjian, K. Bredies, and B. Bruegge, “Interactex: An integrated development environment for smart textiles,” in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016, pp. 8–15. [Details, BibTeX]
  • J. Haladjian et al., “KneeHapp: A Bandage for Rehabilitation of Knee Injuries,” in Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015, pp. 181–184. [Details, BibTeX]
  •  J. Haladjian, “TangoHapps: An Integrated Development Environment for Smart Garments,” in Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015, pp. 471–476. [Details, BibTeX]

 

Video Demos

  

Open Bachelor's / Master's Theses / Guided Research Topics

I welcome students with a particular interest in wearable computing and on current research trends to apply to one of the following projects under my supervision:

  • **New**  Visual programming of wearable device applications. This topic involves the development of an iOS App (iPad / Apple Watch / iPhone App) for visual programming of wearable device applications (have a look at my Interactex environment for a reference). The tool should enable users to program a wearable device visually, by reusing available functionality. For example, by drag and dropping elements from a palette, the user could define the behavior "when the energy of acceleration measured by the accelerometer reaches a threshold, a counter on the mobile device should be triggered". Required skills: Swift (must have), machine learning (preferred), wearable computing (preferred), Core Bluetooth (preferred).
  • **New** A mobile App for annotation of wearable sensor data. The development of wearable device applications often requires collecting and annotating data that is used to train machine learning algorithms. For example, to train an armband to detect tennis strokes, a data analyst usually goes to the field and records the tennis player on video. Afterwards, the video has to be watched and every single instance of a serve has to be annotated. This topic involves the development of a mobile App to simplify the data annotation process. The App should display a video, enable users to add timestamps to the video indicating specific events occurred and automatically match video events to events in the data. Required skills: Swift (must have), algorithm development skills (preferred), wearable computing (preferred). 
  • Wearable Activity Recognition. This topic involves the development of an algorithm to detect a specific pattern based on wearable sensor data. Have a look at my Matlab machine learning tutorial. You are encouraged to apply to this topic if you have access to a specific animal (dog, parrot, horse) or perform a specific sport (lacrosse, swimming). Feel free to contact me with your idea. 

A full list of open and finished theses can be found here.

Application

Note: Apply to these projects if you are interested in and ideally have experience in signal processing and machine learning. To get familiar with the field, read related papers: link1, link2, link3. Also, I usually work with Matlab - here is a nice tutorial: Matlab tutorial. Finally, this survey paper provides a nice overview of this field (specially have a look at the case study in the second part of the paper): Bulling paper.

Write me an email with:

  • your CV
  • your high school / university qualification certificate, bachelor and master's grades (if applicable)
  • motivation and relevant experience for the project

Logistics

Cookies make it easier for us to provide you with our services. With the usage of our services you permit us to use cookies.
More information Ok