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[[File:SkiJumpingArena_lSkiJumpingGoogles.png|thumb|600px]]
 
  
 
 
 
 
 
 
==Short Description==
 
In ski jumping, low repetition rates of jumps limit effectiveness of training. Thus, increasing learning rate within every single jump is key to success. A critical element of athlete training is motor learning, which has been shown to be accelerated using feedback methods. Today, coach’s training feedback is mainly oral and based on recorded video data. Video data provides good insight into the entire jump, however translating video information into actual motor control is difficult
 
 
We aim to develop an in-action system that converts sensor data into simple, motor-transferable information and displays it to jumpers via LEDs integrated into ski googles.
 
 
===Status: Available ===
 
: Students will be co-supervised by the Center of Project Based Learning.
 
: Looking for 1-2 Semester/Master students
 
: Contact: [[:User:Cleitne | Christoph Leitner]], [mailto:schuluka@student.ethz.ch Lukas Schulthess (PBL)]
 
 
===Prerequisites===
 
: Embedded systems and PCB design
 
: Microcontrollers
 
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===Status: Completed ===
 
: Fall Semester 2014 (sem13h2)
 
: Matthias Baer, Renzo Andri
 
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===Status: In Progress ===
 
: Student A, StudentB
 
: Supervision: [[:User:Cleitne | Christoph Leitner]], Lukas Schulthess (PBL- ETHZ)
 
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===Character===
 
: 60% Firmware Development
 
: 20% Fieldwork
 
: 10% Hardware evaluation and integration
 
: 10% Data analyses and documentation
 
 
===Professor===
 
: [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=194234 Luca Benini]
 
<!-- : [https://iis.ee.ethz.ch/people/person-detail.MjkyNDgw.TGlzdC8xOTgzLDk5MDE4ODk4MA==.html Hua Wang] --->
 
<!-- : [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=80923 Mathieu Luisier] --->
 
<!-- : [https://ee.ethz.ch/the-department/people-a-z/person-detail.MjUwODc0.TGlzdC8zMjc5LC0xNjUwNTg5ODIw.html Taekwang Jang] --->
 
<!-- : [https://ee.ethz.ch/the-department/faculty/professors/person-detail.OTY5ODg=.TGlzdC80MTEsMTA1ODA0MjU5.html Christoph Studer] -->
 
<!-- : [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=79172 Andreas Schenk] --->
 
 
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==Detailed Task Description==
 
The main goal of this thesis is to design, build and test an intelligent ski goggle that provides in-action feedback to athletes. Goggles should inform athletes about their center of gravity positioning druing the in-run. For this purpose, sensor data is collected from the insole of ski boots and processed with a tinyML model. The extracted feedback data is displayed over a LED display inside the glasses. According to the level of the student and the chosen thesis type (BT/ST) the work will include some or all following tasks:
 
 
===Goals===
 
=====Firmware Development=====
 
* Implement the BLE coded PHY stack on a nRF52 microcontroller (Nordic semiconductors) integrated in an existing multisensor system for ski-jumping
 
=====Characterization=====
 
Characterization of data transmission quality and identification of losses using BLE coded PHY in various laboratory scenarious:
 
* with increasing distance between source and target
 
* with high velocity differences between source and target.
 
* Using synthetic and/or real sensor data
 
=====Field Test=====
 
* Transfer of the measurment setup on a ski jumping hill.
 
* Validation of the system in a real-world scenario.
 
 
 
===Practical Details===
 
* '''[[Project Plan]]'''
 
* '''[[Project Meetings]]'''
 
* '''[[Design Review]]'''
 
* '''[[Coding Guidelines]]'''
 
* '''[[Final Report]]'''
 
* '''[[Final Presentation]]'''
 
 
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==Links==
 
 
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[[Category:Digital]]
 
[[Category:Wearables for Sports and Fitness]]
 
[[Category:SmartSensors]]
 
[[Category:Available]]
 
[[Category:Group Work]]
 
[[Category:Semester Thesis]]
 
[[Category:Master Thesis]]
 
[[Category:Cleitne]]
 
 
 
 
 
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Latest revision as of 23:13, 14 July 2023