We developed a kinetic particles synthesizer for mobile devices having a multi-touch screen such as a tablet PC and a smart phone. This synthesizer generates music based on the kinetics of particles under a two-dimensional physics engine. The particles move in the screen to synthesize sounds according to their own physical properties, which are shape, size, mass, linear and angular velocity, fr...

The popularity of digital music has recently rapidly increased. The widespread use on computers and portable players and its availability through the Internet have modified the interaction issues from availability towards choice. The user is confronted daily with an enormous amount of music. This situation shapes the need for the development of new user interfaces to access and retrieve music t...

Objective: To establish the intra-rater reliability of nine content-validated Technical Skill Assessment Instruments (TSAI) for the skills of athletic taping. Setting: University of Calgary. Subjects: Canadian Certified Athletic Therapists, CAT(C), with a mean ± SD of 9.6 ± 10.8 years as a CAT(C), 7.8 ± 10.9 years as a Supervisory Athletic Therapist, 8.5 ± 12.0 years teaching athletic taping sk...

Twitter is the largest source of public opinion and also contains a vast amount of information about its users’ music favors or listening behaviour. However, this source has not been exploited for the recommendation of music yet. In this paper, we present how Twitter can be facilitated for the creation of a data set upon which music recommendations can be computed. The data set is based on micr...

This experimental work presents an application for music visualization. There are several ways how to solve this task. We can find two basic approaches to music visualization: real-time animation (Winamp, Cubic player plugins), and preprocessed animation (3D Max studio, Softimage). Realtime animations are often composed simple objects modified in dependency of music. Preprocessed animations are...

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Music players for personal computers are often featured with music visualization by generating animated patterns according to the music’s low-level features such as loudness and spectrum. This paper proposes an emotion-based music player which synchronizes visualization (photos) with music based on the emotions evoked by auditory stimulus of music and visual content of visualization. For emotio...

This research study focuses on the classification that may be accomplished through detection of human facial expression using a Convolutional Neural Network (CNN). The network is able to classify emotions and play music based user's identified expression. suggested approach successfully implicitly classifies into happy, sad, angry, disgusted, fear, neutral by leveraging architecture. By playing...

This paper introduces LyQ, a sensible music player that may change the way you experience music. Music listening will no longer be passive like the radio, nor manipulative like hand-picked tunes on your stereo. LyQ provides music-on-demand based on a single line of input in natural language to describe what you want for the moment. For example, enter ”I am throwing a dance party tonight!”, and ...