https://scholars.lib.ntu.edu.tw/handle/123456789/611569
標題: | Development of SSVEP-based intelligent wheelchair brain computer interface assisted by reactive obstacle avoidance | 作者: | Lin Y.-T. Kuo C.-H. CHUNG-HSIEN KUO |
關鍵字: | Air navigation;Flickering;Frequency bands;Interfaces (computer);Obstacle detectors;Wheelchairs;Artificial potential fields;Intelligent wheelchair;Power spectrum density;Reactive navigation;Reactive obstacle avoidance;Specific frequencies;Spinal cord injuries (SCI);SSVEP;Brain computer interface | 公開日期: | 2016 | 卷: | 2016-May | 起(迄)頁: | 1572-1577 | 來源出版物: | Proceedings of the IEEE International Conference on Industrial Technology | 摘要: | This paper proposed a SSVEP-based brain-computer interface (BCI) for wheelchair controls. SSVEP is an evoked signal which responds to visual flickering stimuli at a specific frequency. A stimulus panel containing 12, 15, 18 and 28-Hz flickering stimuli was presented in front of users. Each flickering stimulus was used to evoke SSVEP and responded to a particular command for the wheelchair control. The power spectrum densities (PSDs) for the specific frequency bands were analyzed. A target stimuli was triggered when the PSD exceeded a defined threshold. Users were able to drive the wheelchair with forward, stop, left-turn and right-turn commands according to their intentions. Additionally, a reactive navigation scheme based on artificial potential field (APF) approach was implemented to improve the security of the proposed system. A laser scanner was outfitted for obstacle detections. The proposed wheelchair system is expected to provide a convenient, safe and comfortable mobile assistance to users suffering spinal cord injuries (SCIs). ? 2016 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974602720&doi=10.1109%2fICIT.2016.7474995&partnerID=40&md5=953505e5df7fa110151adb745514bb79 https://scholars.lib.ntu.edu.tw/handle/123456789/611569 |
DOI: | 10.1109/ICIT.2016.7474995 |
顯示於: | 機械工程學系 |
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