TY - GEN
T1 - Simulation of a Wheelchair Control System Based on Computer Vision Through Head Movements for Quadriplegic People
AU - Jhon, Jirón
AU - Robin, Álvarez
AU - David, Vega
AU - Grijalva, Felipe
AU - Pablo, Lupera
AU - Antonio, Flores
N1 - Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2024
Y1 - 2024
N2 - People with quadriplegia rely on someone else to get around using a manual wheelchair. Using motorized wheelchairs gives them some independence and, simultaneously, the need of methods to control them. In the state-of-the-art, there is a great variety of these minimally invasive methods that use external devices, for example, accelerometers, which could generate discomfort. The present work proposes a non-invasive system based on artificial vision is proposed that does not require placing any device on the user. The proposed system consists of an image acquisition stage, one for face detection using Viola-Jones algorithm and another for tracking using Kanade-Lucas-Tomasi (KLT) algorithm. Additionally, a way to enter or exit the commands mode is proposed so that the user can activate/deactivate the system as required. For this, a specific movement is presented, as long as this movement is not performed, the user can move his head freely without activating the motors in the angle of focus of the camera 20o to 45o, the system correctly interprets 100% of the head moving towards or away. The novel detail is that the system allows entry and exit of the command mode by means of a special movement of the head, if the user enters the commands mode, the following options are available: tilt his head to the left, right, forward or backward.
AB - People with quadriplegia rely on someone else to get around using a manual wheelchair. Using motorized wheelchairs gives them some independence and, simultaneously, the need of methods to control them. In the state-of-the-art, there is a great variety of these minimally invasive methods that use external devices, for example, accelerometers, which could generate discomfort. The present work proposes a non-invasive system based on artificial vision is proposed that does not require placing any device on the user. The proposed system consists of an image acquisition stage, one for face detection using Viola-Jones algorithm and another for tracking using Kanade-Lucas-Tomasi (KLT) algorithm. Additionally, a way to enter or exit the commands mode is proposed so that the user can activate/deactivate the system as required. For this, a specific movement is presented, as long as this movement is not performed, the user can move his head freely without activating the motors in the angle of focus of the camera 20o to 45o, the system correctly interprets 100% of the head moving towards or away. The novel detail is that the system allows entry and exit of the command mode by means of a special movement of the head, if the user enters the commands mode, the following options are available: tilt his head to the left, right, forward or backward.
KW - Computer vision
KW - Kanade-Lucas-Tomasi algorithm
KW - Quadriplegia
KW - Viola-Jones algorithm
KW - Wheelchair commanded by head movements
UR - https://www.scopus.com/pages/publications/85180763118
U2 - 10.1007/978-3-031-50920-9_9
DO - 10.1007/978-3-031-50920-9_9
M3 - Contribución a la conferencia
AN - SCOPUS:85180763118
SN - 9783031509193
T3 - Communications in Computer and Information Science
SP - 109
EP - 123
BT - Advanced Engineering, Technology and Applications - 2nd International Conference, ICAETA 2023, Revised Selected Papers
A2 - Ortis, Alessandro
A2 - Hameed, Alaa Ali
A2 - Jamil, Akhtar
PB - Springer Science and Business Media Deutschland GmbH
T2 - 2nd International Conference on Advanced Engineering, Technology and Applications, ICAETA 2023
Y2 - 10 March 2023 through 11 March 2023
ER -