| Title | EMG Data Collection for Multimodal Keystroke Analysis |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Korecko, Stefan, Haluska, Matus, Pleva, Matus, Skudal, Markus Hoff, Bours, Patrick |
| Conference Name | 2022 12th International Conference on Advanced Computer Information Technologies (ACIT) |
| Date Published | sep |
| Keywords | authentication, biometrics, biometrics (access control), Data collection, data post-processing, electromyography, EMG, Human Behavior, Keyboards, keystroke analysis, Metrics, Myo armband, Protocols, pubcrawl, Software |
| Abstract | User authentication based on muscle tension manifested during password typing seems to be an interesting additional layer of security. It represents another way of verifying a person's identity, for example in the context of continuous verification. In order to explore the possibilities of such authentication method, it was necessary to create a capturing software that records and stores data from EMG (electromyography) sensors, enabling a subsequent analysis of the recorded data to verify the relevance of the method. The work presented here is devoted to the design, implementation and evaluation of such a solution. The solution consists of a protocol and a software application for collecting multimodal data when typing on a keyboard. Myo armbands on both forearms are used to capture EMG and inertial data while additional modalities are collected from a keyboard and a camera. The user experience evaluation of the solution is presented, too. |
| Notes | ISSN: 2770-5226 |
| DOI | 10.1109/ACIT54803.2022.9913124 |
| Citation Key | korecko_emg_2022 |
EMG Data Collection for Multimodal Keystroke Analysis