The goal is to produce cheapest and high effective wearable device for Driver Assist in safety driving. The device is intended for warning of sleep-related road accidents and lets fatigue monitoring, driver drowsiness detection, aggressive driving style and others reasons like uncontrolled driver condition from alcohol, narcotic, soporific or unhealthiness. Realtime Driving Effectiveness tracking collects data to cloud-storage for analytics, trends and sharing.
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The global Brain Computer Interface market size was valued at USD 1.16 billion in 2018 and is expected to reach USD 1.72 billion in 2022, growing at a CAGR of 11.50% during the forecast period. mHealth market size was valued as USD 22 billion/57 mio units in 2018 and is expected to rich USD 40 billion/122 mio units in 2022. Today estimated amount of vehicles is more than 1.2 billion cars on the road with forecast on 2035 up to 2 billions. New cars are produced more 70 million per year. The device is intended as “MUST HAVE” for every car driver for safety driving.
Problem or Opportunity
Most of the existing driver condition control systems use visual pattern of driver to detect when a driver is becoming drowsy.
Car vendors offer different systems and technologies for drowsiness detection for same driver.
Existing car driver drowsiness detection systems can not control others reasons of sleep-related accidents like aggressive driving style, uncontrolled driver condition from alcohol, narcotic, soporific or unhealthiness.
Solution (product or service)
Universal smart personal bluetooth headset that detects car driver brain activity changes on real time and can connect to Apple CarPlay, Android Auto or others native onboard systems in any cars. It is implemented as system with using low-cost single dry-sensor EEG (Electroencephalogram) headset, based on BCI (Brain-Computer Interface) and able to predict and respond to onset of drowsiness preceding stage 1st sleep. EEG/BCI Signals Analysis is high effective solution for monitoring of driver's condition for warning road accidents.
SleepAlert by Neurotone (direct) Brainlink by Macrotellect (indirect) Muse by InteraXon (indirect)
Advantages or differentiators
Head wearing form-factor Raw EEG 8 Frequencies eSense Algorithm (Attention/relaxation) New Algorithms: Appreciation, mental effort, mental familiarity, mental fatigue, mental distraction Bluetooth 4.0 BLE Electrodes layout: 3x Forehead Battery 24 hours standby, 12 hours connected Connectors: Apple CarPlay, Android Auto or others native onboard systems in any cars.