ETD system

Electronic theses and dissertations repository

 

Tesi etd-07072015-161022


Thesis type
Tesi di laurea magistrale
Author
CORTI, NICOLA
email address
corti.nico@gmail.com
URN
etd-07072015-161022
Title
Hand Gesture Recognition in a Multi-sensor Wearable Environment
Struttura
INFORMATICA
Corso di studi
INFORMATICA
Commissione
relatore Prof. Gervasi, Vincenzo
Parole chiave
  • gestures
  • electromyography
  • machine learning
  • hand
  • gesture
  • recognition
  • gestuality
  • dsp
  • signals
  • emg
  • accelerometer
  • Myo
  • Android
  • devices
  • wearable
Data inizio appello
24/07/2015;
Consultabilità
parziale
Data di rilascio
24/07/2018
Riassunto analitico
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&#39;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.<br>
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