Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition

  1. Pagan, J.
  2. Fallahzadeh, R.
  3. Pedram, M.
  4. Risco-Martin, J.L.
  5. Moya, J.M.
  6. Ayala, J.L.
  7. Ghasemzadeh, H.
Zeitschrift:
IEEE Transactions on Mobile Computing

ISSN: 1558-0660,  1536-1233

Datum der Publikation: 2019

Ausgabe: 18

Nummer: 3

Seiten: 658-673

Art: Artikel

DOI: 10.1109/TMC.2018.2843373 GOOGLE SCHOLAR
Datenquelle: Scopus