Sleep Buster
Content
• The design was done collaboratively within the Winter 2010-11 Mini-Project course taught by Prof. Dov Dori
• In response to the call for contest at INCOSE_IL 2011
• System creatively reduces accidents due to drivers’ fatigue by focusing on treating the driver after fatigue has been detected to achieve decrease in accident likelihood
The average driver is not always alert to his state of fatigue
More than 20% of highway traffic accidents are caused as a result of driver fatigue.
Prevention of driving under “fatigue influence” using law enforcement is impossible
Reduce the probability of accidents caused by driver fatigue •GOALS: • Inform the driver of his/her awareness status
• •
Slow down the process of falling asleep
Recommend to the driver to take an alternative way to the nearest possible resting point
•
מצב מערכת :זיהוי מצב נהג :ערני
מצב מערכת :זיהוי מצב נהג :עייף
מצב מערכת :זיהוי וטיפול מצב נהג :עדיין עייף
Every driver/car owner who understands the danger of driving under fatigue condition
•
Companies who want to keep track of their workers so they do not drive under fatigue condition
• •
Parents, who want to take care of their children
•
The Army, police
producers for use in new cars
•Vehicle
Available systems today
•
Disadvantages: No treatment! Just detection High cost Driver-dependable Not customizable Invasive or annoying Not reliable Alerts long after the driver should not be on the road
The system principle
•
EEG – impossible in driving environment Physical symptoms - unreliable Eyes and face symptoms – the best way for fatigue detection for our needs
•
•
Detection using existing technologies in order to detect and manage driver fatigue. •FIVE different parameters: • Eyelid closure (PERCLOS) • Blink frequency • Head movement • Fixed gaze direction • Facial expression Produce two signals:
Fatigue - dangerously tired – must find a way to stop urgently • Drowsiness - moderately tired – can continue with stimulations as long as not fatigue
•
SleepBuster responds differently based on driver state. In the instance of fatigue, which we consider to be more dangerous, we will use more extreme remedies:
• •
Automatically calling a person of driver’s choice Programming the GPS to find the closest rest area.
While in a drowsy state, we will try and occupy the driver in order to keep him alert. We will request that he do several tasks of his customize: Raising and changing the radio volume • Requiring the driver to grasp the wheel tight and sit up straight • Opening and closing different windows sporadically at different opening widths • Tuning air-condition to be cooler • Playing trivia and monitoring driver response
•
This should delay the driver entering the fatigue state for as long as possible.
• In response to the call for contest at INCOSE_IL 2011
• System creatively reduces accidents due to drivers’ fatigue by focusing on treating the driver after fatigue has been detected to achieve decrease in accident likelihood
The average driver is not always alert to his state of fatigue
More than 20% of highway traffic accidents are caused as a result of driver fatigue.
Prevention of driving under “fatigue influence” using law enforcement is impossible
Reduce the probability of accidents caused by driver fatigue •GOALS: • Inform the driver of his/her awareness status
• •
Slow down the process of falling asleep
Recommend to the driver to take an alternative way to the nearest possible resting point
•
מצב מערכת :זיהוי מצב נהג :ערני
מצב מערכת :זיהוי מצב נהג :עייף
מצב מערכת :זיהוי וטיפול מצב נהג :עדיין עייף
Every driver/car owner who understands the danger of driving under fatigue condition
•
Companies who want to keep track of their workers so they do not drive under fatigue condition
• •
Parents, who want to take care of their children
•
The Army, police
producers for use in new cars
•Vehicle
Available systems today
•
Disadvantages: No treatment! Just detection High cost Driver-dependable Not customizable Invasive or annoying Not reliable Alerts long after the driver should not be on the road
The system principle
•
EEG – impossible in driving environment Physical symptoms - unreliable Eyes and face symptoms – the best way for fatigue detection for our needs
•
•
Detection using existing technologies in order to detect and manage driver fatigue. •FIVE different parameters: • Eyelid closure (PERCLOS) • Blink frequency • Head movement • Fixed gaze direction • Facial expression Produce two signals:
Fatigue - dangerously tired – must find a way to stop urgently • Drowsiness - moderately tired – can continue with stimulations as long as not fatigue
•
SleepBuster responds differently based on driver state. In the instance of fatigue, which we consider to be more dangerous, we will use more extreme remedies:
• •
Automatically calling a person of driver’s choice Programming the GPS to find the closest rest area.
While in a drowsy state, we will try and occupy the driver in order to keep him alert. We will request that he do several tasks of his customize: Raising and changing the radio volume • Requiring the driver to grasp the wheel tight and sit up straight • Opening and closing different windows sporadically at different opening widths • Tuning air-condition to be cooler • Playing trivia and monitoring driver response
•
This should delay the driver entering the fatigue state for as long as possible.
