IMPAIRED DRIVING DETECTION USING TEXTILE SENSORS

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IMPAIRED DRIVING DETECTION USING TEXTILE SENSORS
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• Abstract
• Statistical data shows that
  driving-related accidents and human casualties
  caused by vehicles are on the rise in the US and
  globally. Most of these accidents are caused by
  impaired or distracted driving. To address this
  problem we present, a system that uses capacitive
  textile sensors embedded into car seats,
  headrests, and arm rests to capture whole body
  motion. The system also uses inertial and GPS
  sensors for determining vehicle speed and turns.
  Using a combination of these sensors and a tiered
  signal processing algorithm, we infer attributes
  that are indicative of impaired driving.

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• Existing system
• Existing systems that detect impaired
  driving use cameras that perform eye and head
  tracking and do not capture full-body movements
  that are indicative of dangerous driving.
• Disadvantage
• As a result, the existing proposal gets very few
  data which have been helpful in finding
  driving-related accidents.

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Block Diagram
POWER SUPPLY
CAPACITIVE SENSOR
MICRO CONTROLLER
LCD
GPS UNIT
ACCELERO METER SENSOR
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• Proposed system
• Our proposed uses three types of
  sensors (1) textile capacitive sensors for
  full-body movement detection of the driver (2)
  inertial sensor for detecting vehicle turns and
  (3) a GPS unit for determining the speed of the
  vehicle. Capacitive sensing has been used for
  multiple applications including the design of
  rigid structures such as touch pads and touch
  screens. Our application, it is used to find
  non-intrusive body movement of the driver, it is
  imperative that the deployed sensors be embedded
  in strategic locations inside a vehicle cabin.
  The sensors here act as a proximity sensor. The
  accelerometer is used to detect the inertial
  sensing. And last the GPS unit is used to detect
  the speed of the vehicle.

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• Advantages
• These 3 sensors are available as convenient
  modules in the market and easily connectable to
  MCU.
• The critical levels of the distracted driving can
  be indicated through alerting unit.
• The system successfully detected the primary
  appearances impaired driving.

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• Conclusion
• In this paper, we present our system
  that uses a combination of textile capacitive
  sensor arrays built into car seats, head rests,
  arm rest, and floor mats, inertial sensors, and a
  GPS unit to capture full-body movements of
  drivers and movements of the vehicle. Our system
  then uses a rule set to match a sequence of these
  movements with safe or unsafe driver activities.
  Unlike camera-based systems for head and eye
  tracking, system provides low-cost multi-vantage
  point monitoring to detect impaired driving.
• We also demonstrate that by combining a sequence
  of movements captured by sensors in our system,
  it is possible to uniquely identify driver
  activities that are safe or unsafe.