Activity Classification for Real-time Wearable Systems: Effect of Window Length, Sampling Frequency and Number of Features on Classifier Performance

Allik, A.; Pilt, K.; Karai, D.; Fridolin, I.; Leier, M.; Jervan, G. (2016). Activity Classification for Real-time Wearable Systems: Effect of Window Length, Sampling Frequency and Number of Features on Classifier Performance. 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES): IEEE-EMBS Conference on Biomedical Engineering and Science, Kuala Lumpur, 4-8 December 2016. IEEE, 460−464.10.1109/IECBES.2016.7843493.
publitseeritud konverentsiettekanne
Allik, A.; Pilt, K.; Karai, D.; Fridolin, I.; Leier, M.; Jervan, G.
  • Inglise
2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)
IEEE-EMBS Conference on Biomedical Engineering and Science, Kuala Lumpur, 4-8 December 2016
IEEE
978-1-4673-7791-1
2016
460464
Ilmunud
3.1. Artiklid/peatükid lisas loetletud kirjastuste välja antud kogumikes (kaasa arvatud Thomson Reuters Book Citation Index, Thomson Reuters Conference Proceedings Citation Index, Scopus refereeritud kogumikud)

Viited terviktekstile

doi.org/10.1109/IECBES.2016.7843493