Projects / Programmes
Use of wireless sensor devices for motion analysis and bio-feedback
| Code |
Science |
Field |
Subfield |
| 2.08.00 |
Engineering sciences and technologies |
Telecommunications |
|
| Code |
Science |
Field |
| P175 |
Natural sciences and mathematics |
Informatics, systems theory |
| Code |
Science |
Field |
| 2.02 |
Engineering and Technology |
Electrical engineering, Electronic engineering, Information engineering |
Wireless sensors, motion, motion patterns, motion analysis, bio-feedback
Researchers (6)
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
24046 |
Srdjan Djordjević |
Biotechnology |
Researcher |
2013 - 2016 |
89 |
| 2. |
29554 |
PhD Grega Jakus |
Telecommunications |
Researcher |
2013 - 2016 |
107 |
| 3. |
26271 |
Sergej Rozman |
Sport |
Researcher |
2013 - 2016 |
14 |
| 4. |
23408 |
PhD Jaka Sodnik |
Telecommunications |
Researcher |
2013 - 2016 |
308 |
| 5. |
21102 |
PhD Boštjan Šimunič |
Computer intensive methods and applications |
Researcher |
2013 - 2016 |
580 |
| 6. |
04148 |
PhD Sašo Tomažič |
Telecommunications |
Head |
2013 - 2016 |
510 |
Organisations (2)
Abstract
The applied project will be geared toward the planning and production of a sensor device intended for motion tracking and enabling bio-feedback using wireless communication.
Natural motion is a complex process involving the whole psychophysical system. We want to develop a device and technology that will contribute to a better and more comprehensive understanding and valuation of concrete motion and behaviour in general.
The research work will comprise specification of technical requirements for the wireless sensor device to enable real-time measurement using various sensors during free motion, and specification of the communications protocol in the application layer between the sensor devices and the access point.
Based on a systematic review of the marketplace in sensors and communications modules meeting the technical requirements, and their testing, we will develop a device that will provide the most comprehensive picture of motion. The comprehensiveness of motion tracking will be supported by the installation and use of various sensors in the device, such as a gyroscope, accelerometer and electronic compass to monitor the mechanics of motion, and sensors to monitor biomechanical properties and muscle operation during motion, such as an EMG sensor, and a new, innovative MC sensor recognised by the Slovenian Patent Office.
We will undertake comparative measurements of the sensors installed in the device and reference systems. We will compare the system of built-in gyroscopes, accelerometers and electronic compasses with a motion-tracking system based on eight infra red cameras. We will also calibrate devices as required. We will compare the measurements from the MC sensor connected to the sensor device with measurements of a TMG device under isometric conditions.
To make full use of the advantages offered by the use of a sensor device to track motion, we will develop new procedures to synchronise and combine data obtained from multiple sensor devices simultaneously. We will design and build software for real-time data capture and display, and analysis of features obtained by measurement.
By using a prototype device we will undertake test measurements of motion, both during everyday motion and during various sports.
Based on results of analysis for selected sporting disciplines, we will develop algorithms for automated recognition and classification of motion patterns. In this context, time-series analysis, clustering and other procedures used for data mining, and various statistical methods, have a key role. We will optimise the algorithms developed to operate in real time. Based on identification of motion patterns for a given sports discipline, we will test the operation of various types of acoustic bio-feedback. We will produce user equipment with built-in bio-feedback.
The sensor device and associated software developed will enable advanced analysis and processing of motion data, and thereby further multidisciplinary research. Based on new insights into motion of the human body during specific activities, new scientific findings will be enabled.
Significance for science
MC technology enables non-invasive and unobtrusive measurements of muscle tendon complex and thus opens up the possibility of completely new approaches to diagnostics in conjunction with the current and future mobile technologies. The designed platform providing a feedback on the executed motion patterns enables further research on the effect of the biofeedback on the motion learning process in recreational and professional sport and rehabilitation. The adaptation of the feedback to individual motion improves the effectiveness of motion learning as it enables a more intuitive, efficient and unobtrusive way of separating the good (correct) and bad (wrong) executions of motion patterns.
Significance for the country
MC technology enables non-invasive and unobtrusive measurements of muscle tendon complex and thus opens up the possibility of completely new approaches to diagnostics in conjunction with the current and future mobile technologies. Sensor technologies are one of the most expanding branches of biotechnology and most perspective high-tech fields in the Slovenian and the global economy. The designed motion feedback platform improves the effectiveness of motion learning as it enables a more intuitive, efficient and unobtrusive way of separating the good (correct) and bad (wrong) executions of motion patterns. As such, the platform will be also a very useful tool for Slovenian professional athletes.
Most important scientific results
Annual report
2013,
2014,
2015,
final report
Most important socioeconomically and culturally relevant results
Annual report
2013,
2014,
2015,
final report
