An Approach to Glove-Based Gesture Recognition

Nowadays, computer interaction is mostly done using dedicated devices. But gestures are an easy mean of expression between humans that could be used to communicate with computers in a more natural manner. Most of the current research on hand gesture recognition for HumanComputer Interaction rely on either the Neural Networks or Hidden Markov Models (HMMs). In this paper, we compare different approaches for gesture recognition and highlight the major advantages of each. We show that gestures recognition based on the Bio-mechanical characteristic of the hand provides an intuitive approach which provides more accuracy and less complexity.

• Type: Journal
• Year: 2009
• Where: HCI
• Authors: Farid Parvini, Dennis McLeod, Cyrus Shahabi, Bahareh Navai, Baharak Zali, Shahram Ghandeharizadeh
• Keywords: Gesture Recognition, Gestures, Hand Gesture Recognition, HCI 2009, Human Computer Interaction