Fuzzy Logic Control of a Head-movement Based Semi-autonomous Human–machine Interface

Quadriplegia is a neuromuscular disease that may cause varying degrees of functional loss in trunk and limbs. In such cases, head movements can be used as an alternative communication channel. In this study, a human–machine interface which is controlled by human head movements is designed and implem...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Journal of bionics engineering Ročník 20; číslo 2; s. 645 - 655
Hlavní autoři: Özlük, Yasir, Akman Aydin, Eda
Médium: Journal Article
Jazyk:angličtina
Vydáno: Singapore Springer Nature Singapore 01.03.2023
Springer Nature B.V
Témata:
Accelerometers
Artificial Intelligence
Biochemical Engineering
Bioinformatics
Biomaterials
Biomedical Engineering and Bioengineering
Biomedical Engineering/Biotechnology
Closed loops
Engineering
Euler angles
Fuzzy logic
Head
Head movement
Human motion
Man-machine interfaces
Neuromuscular diseases
Research Article
Speed control
Three axis
User experience
Vehicle safety
Wireless communications
Fuzzy logic
Inertial measurement unit (IMU)
Human–machine interface (HMI)
Obstacle avoidance
Head-movement
ISSN:1672-6529, 2543-2141
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Quadriplegia is a neuromuscular disease that may cause varying degrees of functional loss in trunk and limbs. In such cases, head movements can be used as an alternative communication channel. In this study, a human–machine interface which is controlled by human head movements is designed and implemented. The proposed system enables users to steer the desired movement direction and to control the speed of an output device by using head movements. Head movements of the users are detected using a 6 DOF IMUs measuring three-axis accelerometer and three-axis gyroscope. The head movement axes and the Euler angles have been associated with movement direction and speed, respectively. To ensure driving safety, the speed of the system is determined by considering the speed requested by the user and the obstacle distance on the route. In this context, fuzzy logic algorithm is employed for closed-loop speed control according to distance sensors and reference speed data. A car model was used as the output device on the machine interface. However, the wireless communication between human and machine interfaces provides to adapt this system to any remote device or systems. The implemented system was tested by five subjects. Performance of the system was evaluated in terms of task completion times and feedback from the subjects about their experience with the system. Results indicate that the proposed system is easy to use; and the control capability and usage speed increase with user experience. The control speed is improved with the increase in user experience.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1672-6529
2543-2141
DOI:10.1007/s42235-022-00272-3