Ordonez Morales, Francisco Javier and Roggen, Daniel (2016) Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations. In: 20th International Symposiumon Wearable Computers (ISWC) 2016, 12-16 September 2016, Heidelberg, Germany.
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Abstract
Deep convolutional neural networks are powerful image and signal classifiers. One hypothesis is that kernels in the convolutional layers act as feature extractors, progressively highlighting more domain-specific features in upper layers of the network. Thus lower-level features might be suitable for transfer. We analyse this in wearable activity recognition by reusing kernels learned on a source domain on another target domain. We consider transfer between users, application domains, sensor modalities and sensor locations. We characterise the trade-offs of transferring various convolutional layers along model size, learning speed, recognition performance and training data. Through a novel kernel visualisation technique and comparative evaluations we identify what learned kernels are predominantly sensitive to, amongst sensor characteristics, motion dynamics and on-body placement. We demonstrate a ~17% decrease in training time at equal performance thanks to kernel transfer and we derive recommendations on when transfer is most suitable.
Item Type: | Conference or Workshop Item (Paper) |
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Schools and Departments: | School of Engineering and Informatics > Engineering and Design |
Subjects: | Q Science > QA Mathematics > QA0276 Mathematical statistics Q Science > QA Mathematics > QA0299 Analysis. Including analytical methods connected with physical problems Q Science > QA Mathematics > QA0075 Electronic computers. Computer science T Technology > T Technology (General) |
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Depositing User: | Daniel Roggen |
Date Deposited: | 29 Jun 2016 11:57 |
Last Modified: | 17 Nov 2016 11:51 |
URI: | http://sro.sussex.ac.uk/id/eprint/61768 |
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📧 Request an updateProject Name | Sussex Project Number | Funder | Funder Ref |
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Is deep learning useful for wearable activity recognition? | G1460 | Unset |