Academic Journal

Artificial Proprioceptive Reflex Warning Using EMG in Advanced Driving Assistance System

التفاصيل البيبلوغرافية
العنوان: Artificial Proprioceptive Reflex Warning Using EMG in Advanced Driving Assistance System
المؤلفون: Muhammad Ishfaq Hussain, Muhammad Aasim Rafique, Joonmo Kim, Moongu Jeon, Witold Pedrycz
المصدر: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1635-1644 (2023)
بيانات النشر: IEEE, 2023.
سنة النشر: 2023
المجموعة: LCC:Medical technology
LCC:Therapeutics. Pharmacology
مصطلحات موضوعية: Intended action prediction, ADAS, ADS, EMG, intelligent vehicle, intelligent transportation, Medical technology, R855-855.5, Therapeutics. Pharmacology, RM1-950
الوصف: A frequent cause of auto accidents is disregarding the proximal traffic of an ego-vehicle during lane changing. Presumably, in a split-second-decision situation we may prevent an accident by predicting the intention of a driver before her action onset using the neural signals data, meanwhile building the perception of surroundings of a vehicle using optical sensors. The prediction of an intended action fused with the perception can generate an instantaneous signal that may replenish the driver’s ignorance about the surroundings. This study examines electromyography (EMG) signals to predict intention of a driver along perception building stack of an autonomous driving system (ADS) in building an advanced driving assistant system (ADAS). EMG are classified into left-turn and right-turn intended actions and lanes and object detection with camera and Lidar are used to detect vehicles approaching from behind. A warning issued before the action onset, can alert a driver and may save her from a fatal accident. The use of neural signals for intended action prediction is a novel addition to camera, radar and Lidar based ADAS systems. Furthermore, the study demonstrates efficacy of the proposed idea with experiments designed to classify online and offline EMG data in real-world settings with computation time and the latency of communicated warnings.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1558-0210
Relation: https://ieeexplore.ieee.org/document/10064160/; https://doaj.org/toc/1558-0210
DOI: 10.1109/TNSRE.2023.3254151
URL الوصول: https://doaj.org/article/c9b2379cf02545dc9f3ca9c87ba3f19d
رقم الانضمام: edsdoj.9b2379cf02545dc9f3ca9c87ba3f19d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:15580210
DOI:10.1109/TNSRE.2023.3254151