Machine learning for human activity recognition
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor | Aalto University | en |
| dc.contributor.advisor | Zhao, Zheng | |
| dc.contributor.author | Ruuskanen, Santeri | |
| dc.contributor.school | Sähkötekniikan korkeakoulu | fi |
| dc.contributor.supervisor | Turunen, Markus | |
| dc.date.accessioned | 2019-09-24T09:10:51Z | |
| dc.date.available | 2019-09-24T09:10:51Z | |
| dc.date.issued | 2019-08-28 | |
| dc.format.extent | 6+23 | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/40415 | |
| dc.identifier.urn | URN:NBN:fi:aalto-201909245436 | |
| dc.language.iso | en | en |
| dc.programme | Sähkötekniikan kandidaattiohjelma | fi |
| dc.programme.major | Bioinformaatioteknologia | fi |
| dc.programme.mcode | ELEC3016 | fi |
| dc.subject.keyword | human activity recognition | en |
| dc.subject.keyword | machine learning | en |
| dc.subject.keyword | deep learning | en |
| dc.subject.keyword | feature extraction | en |
| dc.title | Machine learning for human activity recognition | en |
| dc.type | G1 Kandidaatintyö | fi |
| dc.type.dcmitype | text | en |
| dc.type.ontasot | Bachelor's thesis | en |
| dc.type.ontasot | Kandidaatintyö | fi |
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