/challenges-projects/design-challenges/iot-on-wheels/b/blog/posts/iot-on-wheels-design-challenge---fatigue-alert-system-blog-7In the past week I have been doing a lot of programming for the sensors It has been a bit of a learning experience working with the Nucleo-L476RG especially since I have been using the Arduino IDE The main part to remember is to assign the pins in yoen-USTelligent Community 12https://community.element14.com/challenges-projects/design-challenges/iot-on-wheels/b/blog/posts/iot-on-wheels-design-challenge---fatigue-alert-system-blog-7Sun, 05 Nov 2017 18:34:29 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:8433555a-358d-4f02-a959-c1748a0b4e21DAB0<p>Good start Dale,</p><p>&nbsp;</p><p>Have you considered using fuzzy logic for the 3-axis sensor?</p><p>&nbsp;</p><p>You might want to look at say a 2-degree variance for alert, 2 to 5 degree variance for semi-drowsy and anything more than 5 degree variance as bad.</p><p>&nbsp;</p><p>Now I have not looked at how you translate the accelerometer data to degree variances, but I am sure there is some code where someone has looked at tilt angle verses acceleration detection.</p><p>&nbsp;</p><p>Just a thought,</p><p>DAB</p><img src="https://community.element14.com/aggbug?PostID=3798&AppID=174&AppType=Weblog&ContentType=0" width="1" height="1">