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Abstract
In this paper we propose to use temporal muscle contraction to perform certain actions. Method: The set of muscle contractions corresponding to one of three actions including “single-click”, “double-click” “click-n-hold” and “non-action” were recorded. After recording certain amount of signals, the set of five parameters was calculated. These parameters served as an input matrix for the neural network. Two-layer feedforward neural network with one hidden layer of 200 neurons was applied to classify gestures based on the input matrix. Results: The network was trained using the dataset consisted of 43 samples and then tested on the 34 samples dataset. All gestures from the test set were correctly classified.
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Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- Human System Interactions (HSI), 2017 10th International Conference on strony 12 - 17
- Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Kocejko T., Czuszyński K., Rumiński J., Bujnowski A., Poliński A., Wtorek J.: Extending touch-less interaction with smart glasses by implementing EMG module// Human System Interactions (HSI), 2017 10th International Conference on/ Ulsan: , 2017, s.12-17
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/hsi.2017.8004988
- Verified by:
- Gdańsk University of Technology
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