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Dive into the research topics where Hristo Novatchkov is active.

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Featured researches published by Hristo Novatchkov.


Sensors | 2010

A Server-Based Mobile Coaching System

Arnold Baca; Philipp Kornfeind; Emanuel Preuschl; Sebastian Bichler; Martin Tampier; Hristo Novatchkov

A prototype system for monitoring, transmitting and processing performance data in sports for the purpose of providing feedback has been developed. During training, athletes are equipped with a mobile device and wireless sensors using the ANT protocol in order to acquire biomechanical, physiological and other sports specific parameters. The measured data is buffered locally and forwarded via the Internet to a server. The server provides experts (coaches, biomechanists, sports medicine specialists etc.) with remote data access, analysis and (partly automated) feedback routines. In this way, experts are able to analyze the athlete’s performance and return individual feedback messages from remote locations.


International Journal of Computer Applications | 2013

Fuzzy Logic in Sports: A Review and an Illustrative Case Study in the Field of Strength Training

Hristo Novatchkov; Arnold Baca

ABSTRACT As a special form of probabilistic reasoning, the fuzzy logic concept allows the effective realization of approximate, vague, uncertain, dynamic, continuous and, at the same time, more realistic conditions, which are closer to the actual physical world and human thinking. This many-valued idea involves the definition of fuzzy sets and rules as well membership functions. These techniques allow the mapping of classes of objects not only – according to the binary logic – to false (0) and true (1) but also to intermediate values in between. Based on this theorem, the particular purpose of this paper was to propose a fuzzy logic approach for the evaluation of strength training exercises. The motivation for the present study arose from previous research done in the area of artificial intelligence (AI) in sports, the effective number of multidisciplinary solutions integrating fuzzy logic methodologies and the lack of applications in the fields of sport and especially strength training. The conception takes into account gathered data from sensor-equipped machines as well as recommended suggestions and criteria regarding a proper execution. The final aim is to integrate the designed procedures into a computer-based coaching framework, returning automated feedback on the performed technique.


Journal of Sports Science and Medicine | 2013

Artificial Intelligence in Sports on the Example of Weight Training

Hristo Novatchkov; Arnold Baca


Procedia Engineering | 2010

Mobile Motion Advisor - a feedback system for physical exercise in schools

Emanuel Preuschl; Arnold Baca; Hristo Novatchkov; Philipp Kornfeind; Sebastian Bichler; Martin Boecskoer


Procedia Engineering | 2012

Machine learning methods for the automatic evaluation of exercises on sensor-equipped weight training machines

Hristo Novatchkov; Arnold Baca


Archive | 2015

Computer Science in Sport

Hristo Novatchkov; Arnold Baca


Int. J. Comp. Sci. Sport | 2011

Real-Time Training and Coaching Methods Based on Ubiquitous Technologies - An Illustration of a Mobile Coaching Framework.

Hristo Novatchkov; Sebastian Bichler; Martin Tampier; Philipp Kornfeind


Archive | 2015

Pervasive Computing in Sport

Hristo Novatchkov; Arnold Baca


Int. J. Comp. Sci. Sport | 2012

Development of an Intelligent Real-Time Feedback System.

Martin Tampier; Stefan Endler; Hristo Novatchkov; Arnold Baca; Jürgen Perl


HASH(0x7f331b0941d8) | 2010

Mobile motion advisor - a feedback system for physical exercise in schools

Arnold Baca; Emanuel Preuschl; Martin Böcskör; Philipp Kornfeind; Sebastian Bichler; Hristo Novatchkov

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