The number of receivable TV channels has highly increased in recent years. Handling the enormous offer of TV content could be a challenge for the users in case of selecting the most interesting program. Furthermore, most users only focus on their favorite TV channels. That's the reason why content on other channels won't be recognized. For this problem assistive systems and tools are desirable to support in selecting the most appealing content with respect to the user's interests. The research group Next Generation PVR (NG-PVR) extends a personal video recorder (PVR) with a generic recommendation system based on a Bayesian classifier and adapted it for the use in the application area of television. The system analyzes the user's TV watching behavior to present new choices of content. So the system is able to generate personalized TV program recommendations. The content is stored on an internal hard disc drive where it is recorded for the user to watch. This paper presents the current state of development by introducing the system's architecture and implemented recommendation mechanisms.

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AIMS: High string players (violin and viola) often suffer from musculoskeletal disorders. Although 3D motion analysis has proved helpful in diagnosing different musculoskeletal syndromes and identifying injurious movement patterns in violin and viola performance, more detailed analyses of upper body movement strategies and especially of the shoulder complex have not yet been recorded. The use of spherical surface markers on some anatomical landmarks is, however, inappropriate when an instrument is being played. The aim of this study was to develop and evaluate a novel marker-based method for analyzing upper body kinematics of high string players using conditions specific to violin and viola playing. METHODS: A custom upper body marker set was developed and a biomechanical model applied to 3D motion capture data of the pelvis, thorax, spine, head, and both upper limbs (scapula, upper arm, forearm, hand) of 12 professional violinists, to assess its clinical feasibility. FINDINGS: Lumbar and thoracic spine, thorax, neck, and left upper limb were quite static, while extensive motion occurred in the right upper limb. Most rotation angles showed a reasonable intersubject variability except for glenohumeral and wrist joints. Significant differences were observed between G- and D-string bowing, especially in the left wrist and right shoulder joints. INTERPRETATION: This study suggests that the proposed method is a valid tool for quantifying upper body movements in violin and viola performance. With the extended upper body model, it will improve understanding of the motor strategies adopted by high string players and may contribute to injury prevention, diagnosis, and treatment.

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