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Deep learning-based motion activity recognition using smartphone sensors
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-5590-0784
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-7755-4795
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2020 (English)In: 12th International Conference on e-Health e-Health'20, 2020Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2020.
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Engineering and Technology Computer Systems
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URN: urn:nbn:se:mdh:diva-49344Scopus ID: 2-s2.0-85092379149OAI: oai:DiVA.org:mdh-49344DiVA, id: diva2:1453346
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12th International Conference on e-Health e-Health'20, 21 Jul 2020, Zagreb, Croatia
Projects
ESS-H - Embedded Sensor Systems for Health Research ProfileHealth5G: Future eHealth powered by 5GAvailable from: 2020-07-09 Created: 2020-07-09 Last updated: 2022-11-09Bibliographically approved

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Abbaspour Gildeh, SaedehFotouhi, HosseinVahabi, MaryamLindén, Maria

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