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Optimise Sporting Performance by Intelligently Reshuffling Playlists

IP.com Disclosure Number: IPCOM000241439D
Publication Date: 2015-Apr-27
Document File: 3 page(s) / 87K

Publishing Venue

The IP.com Prior Art Database

Abstract

The problem solved by this idea is to optimise sporting performance by intelligently reshuffling playlists with no user input. The proposed system goes beyond current playlist options by taking in additional information such as the planned duration of the activity, the current location, the pace of the user, user time goals, calories burnt goals. By combining this information, the system then dynamically changes the playlist to increase the user's sporting performance.

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Optimise Sporting Performance by Intelligently Reshuffling Playlists

When creating a play list for a sporting activity, the current options are to statically define one in advance, shuffle* available music or relying on external play lists and random music generators. These do not take into consideration the situation of the listener, such as where he/she is, what he/she is doing and how previous performance has been affected by different song choices.

    There is a strong correlation between behaviour, performance and the music a user is listening to.

    Prior art in this area includes changing driving patterns by automatically selecting songs (http://ip.com/IPCOM/000153848).

    Studies of song choice and sporting performance: http://www.bps.org.uk/news/favourite-music-boosts-sport-performance

Prior art on previously played songs (http://ip.com/IPCOM/000216755).

    * Prior art for shuffling songs include: http://ip.com/pat/US20060224260, and http://ip.com/pat/US20080294277.

    The following prior art requires user input: http://lifehacker.com/5622382/creating-the-ultimate-exercise-playlist

    When a user is undertaking a sporting activity, their music choice can influence their performance; for example, if he/she is listening to a song with a fast tempo, this may increase his/her performance as he/she may respond by running more quickly. This can already be achieved by choosing a playlist or album that has a fast tempo. However, it may not be beneficial to run at a fast pace the entire

journey due to stamina or environmental obstacles such as hills. Further information must be considered to create a more optimised playlist.

    The problem solved by this idea is to optimise sporting performance by intelligently reshuffling playlists with no user input

    The proposed system goes beyond current playlist options by taking in additional information such as the planned duration of the activity, the current location, the pace of the user, user time goals, calories burnt goals. By combining this information, the system then dynamically changes the playlist to increase the user's sporting performance.

    The advantage of the proposed idea is the ability to increase a user's performance during a sporting activity. Although certain information could be provided in advance, such as the user's goal, most of the information to be used is collected and processed automatically, therefore, updating the playlist without user intervention. In addition, using data from previous activities, the system can play particular songs to change the behaviour of the user that would be beneficial but the user may not consider, e.g. suggest a slower song in preparation for an upcoming obstacle which will require additional exertion.

  A number of scenarios of how the idea could improve user performance are: If the user is not going to reach their required goal and require a short boost, the next song on the playlist may be replaced by one with a faster tempo.

  If an obstacle that requires...