ETD

Archivio digitale delle tesi discusse presso l'Università di Pisa

Tesi etd-07072015-161022


Tipo di tesi
Tesi di laurea magistrale
Autore
CORTI, NICOLA
Indirizzo email
corti.nico@gmail.com
URN
etd-07072015-161022
Titolo
Hand Gesture Recognition in a Multi-sensor Wearable Environment
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA
Relatori
relatore Prof. Gervasi, Vincenzo
Parole chiave
  • machine learning
  • hand
  • gestures
  • gesture
  • gestuality
  • emg
  • electromyography
  • dsp
  • devices
  • Android
  • accelerometer
  • Myo
  • recognition
  • signals
  • wearable
Data inizio appello
24/07/2015
Consultabilità
Completa
Riassunto
Hand gestures play a fundamental role in human interaction. In this thesis we investigate if wearable devices can be exploited to support hand gesture recognition; in particular we present a system composed by two wearable devices connected to user's arm. This two devices collect data from accelerometer sensors and surface electromyographic sensors; data are then filtered, segmented and stored. We evaluated this system with ten different user and we have used collected data to realize a gesture recognizer.
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