SAMMPLE: Detecting Semantic Indoor Activities in Practical Settings using Locomotive Signatures
We analyze the ability of mobile phone-generated accelerometer data to detect high-level (i.e., at the semantic level) indoor lifestyle activities, such as cooking at home and working at the workplace, in practical settings. We design a 2-T ier activity extraction framework (called SAMMPLE) for our...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2012
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/1521 https://ink.library.smu.edu.sg/context/sis_research/article/2520/viewcontent/MisraAiswc_2tier.pdf |
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| Institution: | Singapore Management University |
| Language: | English |