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==Short Description==
 
==Short Description==
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This project focusses on the development of an unobtrusive multisensory embedded system to assist coaches to better quantify jumping trajectories of athletes. Within the short duration of a ski-jump (< 10 seconds) and exposed to the conditions of nature (snow, wind, temperature) athletes must solve extremely difficult optimisation problems. Flight trajectories of athletes are decisive for victory in a ski jumping competition. They are influenced by the properties of the inrun, the take-off speeds, the applied forces, the athletes’ body position as well as ski edging angles during flight.  
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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
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To improve current feedback methods, we want to develop an in-action system that converts sensor node data into simple yet motor-transferable information. To do this, data must be transmitted between onbody sensor nodes as well as between a sensor node master and the coaching tower. This requires reliable wireless communication with sufficient bandwidth and range.
  
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The challenge in this project lies in the combination and synchronization of the sensors and the wireless data transmission between the flying athlete and the coaching tower. In addition, due to the complexity of such a flight situation, the body-mounted sensors and devices must be tiny and barely perceptible to the athlete so as not to disturb his/her sensitive jumping system.
 
  
 
===Status: Available ===
 
===Status: Available ===
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===Character===
 
===Character===
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: 10% Literature research
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: 60% Firmware Development
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: 20% Sensor interfaces
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: 20% Fieldwork
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: 35% Embedded System Design
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: 10% Hardware evaluation and integration
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: 35% Wireless Communication
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: 10% Data analyses and documentation
  
 
===Professor===
 
===Professor===
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==Detailed Task Description==
 
==Detailed Task Description==
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The main goal of this thesis is to design, build and test a multisensory system to determine jump trajectories of athletes. The sensors should be able to record ski edging angles (e.g., using IMUs) and insole pressures (e.g. using piezoresistive sensors) during approach, take-off, and landing. The acquired data should be sent from the senor node to the coaching tower. According to the level of the student and the chosen thesis type (MT/BT/ST) the work will include some or all following tasks:  
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The main objective of this work is to implement and test a reliable Bluetooth Low Energy Coded PHY radio communication
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between an existing sensor node and a gateway. Field measurements (also with real ski jumpers) shall demonstrate the performance of the developed system. According to the level of the student and the chosen thesis type (BT/ST) the work will include some or all following tasks:  
 
[[File:SkiEdgingAngles.png|thumb|]]
 
[[File:SkiEdgingAngles.png|thumb|]]
  

Revision as of 20:42, 14 July 2023

Olympic rings.png
SkiJumperInAir.png




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

To improve current feedback methods, we want to develop an in-action system that converts sensor node data into simple yet motor-transferable information. To do this, data must be transmitted between onbody sensor nodes as well as between a sensor node master and the coaching tower. This requires reliable wireless communication with sufficient bandwidth and range.


Status: Available

Students will be co-supervised by the Center of Project Based Learning.
Looking for 1-2 Semester/Master students
Contact: Christoph Leitner, Lukas Schulthess (PBL)

Prerequisites

Embedded systems and PCB design
Microcontrollers

Character

60% Firmware Development
20% Fieldwork
10% Hardware evaluation and integration
10% Data analyses and documentation

Professor

Luca Benini

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Detailed Task Description

The main objective of this work is to implement and test a reliable Bluetooth Low Energy Coded PHY radio communication between an existing sensor node and a gateway. Field measurements (also with real ski jumpers) shall demonstrate the performance of the developed system. According to the level of the student and the chosen thesis type (BT/ST) the work will include some or all following tasks:

SkiEdgingAngles.png

Goals

Sensors and Acquisition
  • Investigation and evaluation of various commercially available sensor technologies (IMUs, pressure sensors).
  • Evaluation of the attachment of sensors to skis and in boots.
  • Use an in-house multipurpose embedded systems controller (Vitalcore) to build & test data collection with sensors.
Communication and Data Transfer
  • Develop a data transfer strategy to
    • collect data from two different sensors, and
    • to transmit synchronized (raw) data to the coaching tower.
    • Use an in-house multipurpose embedded systems controller (Vitalcore) to test data transfers via BLE.
    • Test data transfer in ski jumping arena situation and revaluate transfer strategy if necessary.
Assembly and Test
  • Make a PCB board design for the readout system.
  • Design a casing to attach sensors system on the skis or shoes. Aiming for a minimalistic form-factor and weight.
  • Test, build and evaluate a working prototype in laboratory conditions and in a real-life environment.


Practical Details


Links

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