Login / Signup

Identification of Abnormal Behavior in Activities of Daily Life Using Novelty Detection.

Maurício Pasetto de FreitasVinícius de Aquino PiaiRudimar L. S. DazziRaimundo Celeste Ghizoni TeiveWemerson Delcio ParreiraAnita FernandesIvan Miguel PiresValderi Reis Quietinho Leithardt
Published in: MobiQuitous (2022)
Keyphrases
  • daily life
  • novelty detection
  • abnormal behavior
  • text filtering
  • activity recognition
  • anomaly detection
  • sentence level
  • human activities
  • concept drift
  • high risk
  • data structure
  • software engineering