Abstract: A system provides music that matches the mood of an e-book when the e-book is read on an e-Reader. The system comprises several sub-components to calculate a user's average reading speed, analyze the e-book for moods, match music to each mood, track music played and purchased, record user's music preference, and play the matched music based on the user's music preference. The moods are indexed as adjectives, adverbs, and onomonopias. A change in mood triggers a change in music played in a wall-to-wall or movie mode. When a user does not have a music preference, the system chooses a default music based on genre, style, and mode based on the analyzed mood. When the system plays music in the movie mode to match a predetermined number of moods, the system fades the music to a pause equal to the predetermined number before resuming the music based on a current mood.

Abstract: A system provides music that matches the mood of an e-book when the e-book is read on an e-Reader. The system comprises several sub-components to calculate a user's average reading speed, analyze the e-book for moods, match music to each mood, track music played and purchased, record user's music preference, and play the matched music based on the user's music preference. The moods are indexed as adjectives, adverbs, and onomonopias. A change in mood triggers a change in music played in a wall-to-wall or movie mode. When a user does not have a music preference, the system chooses a default music based on genre, style, and mode based on the analyzed mood. When the system plays music in the movie mode to match a predetermined number of moods, the system fades the music to a pause equal to the predetermined number before resuming the music based on a current mood.