Feasibility of applied machine learning for classification of exercise intensity and energy expenditure prediction during wheelchair propulsion
dc.contributor.author | Aandahl, Håkon Strand | |
dc.date.accessioned | 2023-03-15T10:01:22Z | |
dc.date.available | 2023-03-15T10:01:22Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://hdl.handle.net/11250/3058318 | |
dc.description | Master i kroppsøvings- og idrettsvitenskap - Nord universitet 2022 | en_US |
dc.description | Sperret til 2025-11-15 | |
dc.language.iso | eng | en_US |
dc.publisher | Nord universitet | en_US |
dc.title | Feasibility of applied machine learning for classification of exercise intensity and energy expenditure prediction during wheelchair propulsion | en_US |
dc.type | Master thesis | en_US |
dc.source.pagenumber | 34 s. | en_US |