SoundSense: scalable sound sensing for people-centric applications on mobile phones
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Cites background or methods from "SoundSense: scalable sound sensing ..."
...In SoundSense [ 11 ] a general-purpose sound classification system for mobile phones is developed using a combination of supervised and unsupervised learning....
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...By continuously collecting audio from the phone’s microphone, for example, it is possible to classify a diverse set of distinctive sounds associated with a particular context or activity in a person’s life, such as using an automatic teller machine (ATM), being in a particular coffee shop, having a conversation, listening to music, making coffee, and driving [ 11 ]....
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...These operations occur either directly on the phone, in the mobile cloud, or with some Figure 4. Raw audio data captured from mobile phones is transformed into features allowing learning algorithms to identify classes of behavior (e.g., driving, in conservation, making coffee) occurring in a stream of sensor data, for example, by SoundSense [ 11 ]....
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...Alternatively, an effective approach for some systems have been sensor sampling routines with admission control stages that do not process data that is low-quality, saving resources, and reducing errors (e.g., SoundSense [ 11 ])....
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...SoundSense [ 11 ] adopts this strategy: all the audio data is processed on the phone, and raw audio is never stored....
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1,214 citations
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Cites background from "SoundSense: scalable sound sensing ..."
...…EOB Speaker recognition, localisation by ambient sounds, activity detection, object self-localisation [Amft et al.2005; Clarkson et al. 2000; Lu et al. 2009] Accelerometers or gyroscopes EOB Detection of body movement patterns, object use, ambient infrastructure [Godfrey et al. 2008;…...
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...For example, long-term acceleration data recorded on a mobile phone can be segmented using GPS traces [Ashbrook and Starner 2003] or sound recorded using the internal microphone [Lu et al. 2009]....
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...For example, long-term acceleration data recorded on a mobile phone can be segmented using GPS traces [Ashbrook and Starner 2003] or sound recorded using the internal microphone [Lu et al. 2009]....
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1,056 citations
References
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"SoundSense: scalable sound sensing ..." refers methods in this paper
...We use a simple Bayes classifier [ 8 ] with equal priors for each class to represent different ambient sound events (e.g., using a washing machine, driving a car)....
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