Creating and sharing knowledge for telecommunications

SwimIT: A novel approach to swim training analysis based on AHRS

on 20-03-2019

... Technology is having an increasingly pervasive role in many sports disciplines, allowing athletes and trainers to exploit the possibilities opened by advanced sensing and intelligent data analytics. For example, heart rate monitoring vests, in- field positioning monitoring, goal line, and video-referee are currently common practice in football. In the case of tennis, rugby, or volleyball, the "hawk eye" is also a widely used technology also.

Within this landscape, swimmer analysis is somewhat of an underdeveloped area, where the typical approaches consist of video-based systems (which are expensive to setup and fixed to a particular location) and wearable devices still present limitations in terms of functionality and level of detail of the extracted information.

To address some of these challenges, researchers from IT in Lisbon recently developed SwimIT, a novel approach composed of hardware and software based on attitude and heading reference system (AHRS) and a machine learning workflow for data analytics. This is intended to help swimmers and coaches in performance evaluation and improvement, through the extraction of an extended set of dynamic parameters.

In his thesis, Eduardo Félix, explored new methodologies that have shown promising results, with a 100% accuracy in swam laps segmentation, a precision of 100% in the recognition of backstroke style and a precision of 89.60% in the three remaining swimming techniques (butterfly, breaststroke and front crawl).

Real swimming data was collected from swimmers with different skill levels, in order to develop a representative database and allow assessing the system performance in real-world swimming conditions. From the AHRS data, three novel indicators were also introduced, namely, trunk elevation, body balance and body rotation.

IT website scores high in the "Ranking Web of World Research Centers"

on 17-03-2019

... IT website ranks in the 1st position in Portugal, among 41 Portuguese research institutions, according to the "Ranking Web of World Research Centers". The ranking is an initiative from the the Cybermetrics Lab, a research group belonging to the Consejo Superior de Investigaciones Científicas (CSIC), the largest public research body in Spain, the same that is associated with the development of SCIMAGO rankings.

IT website ranks in the 137th position in the European Union, 153rd among 5069 research institutions in Europe and 345th among 8279 worldwide.

According to the Cybermetrics Lab, while other rankings focus mainly on research results, web indicators based ranking reflects better the whole picture, as many other activities and global quality of professors and researchers are shown by their web presence. In their statement, “if the web performance of an institution is below the expected position according to their academic excellence, university authorities should reconsider their web policy, promoting substantial increases of the volume and quality of their electronic publications.”

The ranking is obtained by a combination of four indicators: Size (5%), the number of website pages recovered from four search engines, Visibility (50%), the total number of unique external links received (inlinks), Excellence (10%), the number of papers amongst the top 10% most cited in 26 disciplines, and Scholar (35%), the number of citations from Top authors according to Google Scholar Citations.

Picture: Brave new world [Digital image]. (2019). Retrieved from