A robotic wheelchair is assumed to be capable of doing tasks like navigation, obstacle detection, etc. using sensors and intelligence. The initial part of the work was development of a cap controlled wheelchair to tes...A robotic wheelchair is assumed to be capable of doing tasks like navigation, obstacle detection, etc. using sensors and intelligence. The initial part of the work was development of a cap controlled wheelchair to test and verify the gesture operation. Following that, a real time operating wheelchair was developed consisting of mode changing option between joystick control mode and head gesture control mode as per as the user’s requirement. The wheelchair consists of MPU6050 sensor, joystick module, RF module, battery, dc motor, toggle switch and Arduino. The movement of the head is detected by MPU6050 and the signal is transmitted to the microcontroller. Then the signal is processed by controller and motion of wheelchair is enabled for navigation. The wheelchair was capable of moving left, right, forward and backward direction. The speed of the wheelchair was 4.8 km/h when tested. Design objective of the wheelchair included cost effectiveness without compromising safety, flexibility and mobility for the users.展开更多
To explore the effectiveness of accident proneness test in drivers. Methods: Accident proneness test results in 100*!000 drivers were simulated by function of RANNOR using SAS statistical software, their accident reco...To explore the effectiveness of accident proneness test in drivers. Methods: Accident proneness test results in 100*!000 drivers were simulated by function of RANNOR using SAS statistical software, their accident records were simulated by function of UNIFORM according to 3 alternatives, the accident rate of qualified drivers was 0.01 , and the accident rate of unqualified drivers was 0.01 , 0.05 and 0.10 , respectively. Results: It was found that there was no effectiveness of accident proneness test if the accident rate of unqualified drivers was equal to that of the qualified ones, if the accident rate of the unqualified drivers was really higher than that of the qualified ones, the test could identify a certain proportion of high risk drivers. Conclusions: Accident proneness test may be effective to some extent, it is advisable to carry out further prospective study or pilot work so as to practically prove the effectiveness of the test.展开更多
文摘A robotic wheelchair is assumed to be capable of doing tasks like navigation, obstacle detection, etc. using sensors and intelligence. The initial part of the work was development of a cap controlled wheelchair to test and verify the gesture operation. Following that, a real time operating wheelchair was developed consisting of mode changing option between joystick control mode and head gesture control mode as per as the user’s requirement. The wheelchair consists of MPU6050 sensor, joystick module, RF module, battery, dc motor, toggle switch and Arduino. The movement of the head is detected by MPU6050 and the signal is transmitted to the microcontroller. Then the signal is processed by controller and motion of wheelchair is enabled for navigation. The wheelchair was capable of moving left, right, forward and backward direction. The speed of the wheelchair was 4.8 km/h when tested. Design objective of the wheelchair included cost effectiveness without compromising safety, flexibility and mobility for the users.
文摘To explore the effectiveness of accident proneness test in drivers. Methods: Accident proneness test results in 100*!000 drivers were simulated by function of RANNOR using SAS statistical software, their accident records were simulated by function of UNIFORM according to 3 alternatives, the accident rate of qualified drivers was 0.01 , and the accident rate of unqualified drivers was 0.01 , 0.05 and 0.10 , respectively. Results: It was found that there was no effectiveness of accident proneness test if the accident rate of unqualified drivers was equal to that of the qualified ones, if the accident rate of the unqualified drivers was really higher than that of the qualified ones, the test could identify a certain proportion of high risk drivers. Conclusions: Accident proneness test may be effective to some extent, it is advisable to carry out further prospective study or pilot work so as to practically prove the effectiveness of the test.
