Use of anti-pronation taping to assess suitability of orthotic prescription: Case report

This case report describes a strategy for assessing the suitability of orthotic prescription for individual patients with lower limb overuse injuries. The case concerns a 32 year old male soccer player with a two-year history of Achilles tendinopathy. A functional assessment performed before, during, and after a trial period of anti-pronation taping showed that taping reduced symptoms markedly and resulted in a 10-fold increase in pain-free jogging distance. This was interpreted as an indication for favourable orthotic intervention. Subsequently, orthotic intervention was associated with a similar reduction in symptoms and improvement in function. This case study illustrates how a trial period of anti-pronation taping could assist therapists to make decisions about prescription of orthoses for lower limb overuse injuries.

A global vision system for a robot soccer team

This paper describes the real time global vision system for the robot soccer team the RoboRoos. It has a highly optimised pipeline that includes thresholding, segmenting, colour normalising, object recognition and perspective and lens correction. It has a fast ‘paint’ colour calibration system that can calibrate in any face of the YUV or HSI cube. It also autonomously selects both an appropriate camera gain and colour gains robot regions across the field to achieve colour uniformity. Camera geometry calibration is performed automatically from selection of keypoints on the field. The system acheives a position accuracy of better than 15mm over a 4m × 5.5m field, and orientation accuracy to within 1°. It processes 614 × 480 pixels at 60Hz on a 2.0GHz Pentium 4 microprocessor.

Engaging game characters: Informing design with player perspectives

The behavior of characters in current computer games is generally scripted and predictable. This paper discusses some issues related to creating game characters that enhance player engagement and identifies the need for a more player-centered approach to game character design. This paper reports the results of a focus group that was carried out with experienced game players to determine what game character behaviors would enhance their engagement in a game. The four general areas of concern that came out of this discussion were consistency with context, player expectations, social interactions and consistency with the environment. This paper discusses these issues and their implication for game character design with a view to creating engaging game characters. © Springer

Classifying an opponent's behaviour in robot soccer

This paper illustrates the prediction of opponent behaviour in a competitive, highly dynamic, multi-agent and partially observableenvironment, namely RoboCup small size league robot soccer. The performance is illustrated in the context of the highly successful robot soccer team, the RoboRoos. The project is broken into three tasks; classification of behaviours, modelling and prediction of behaviours and integration of the predictions into the existing planning system. A probabilistic approach is taken to dealing with the uncertainty in the observations and with representing the uncertainty in the prediction of the behaviours. Results are shown for a classification system using a Naïve Bayesian Network that determines the opponent’s current behaviour. These results are compared to an expert designed fuzzy behaviour classification system. The paper illustrates how the modelling system will use the information from behaviour classification to produce probability distributions that model the manner with which the opponents perform their behaviours. These probability distributions are show to match well with the existing multi-agent planning system (MAPS) that forms the core of the RoboRoos system.