It is important for us to ensure that the method in which we awaken the driver does not do so in a way that may cause an accident. Startling the driver too hard may cause him/her to swerve off the road, which is precisely what we are trying to avoid. One solution to this would be to implement a sound alarm which gradually gets louder until the driver is awake. Originally, we had though to use an electric shock to alert the driver, but we unanimously decided this may cause legal problems not only in the case of an accident, but also in the case of sensitive users. If time permits, a vibration alarm may also be implemented which will introduce a more gentle way to wake the driver. We will be sure to include proper warning labels.
Drowsy driving should not be encouraged even with this device, and our ‘company’ takes no responsibility for irresponsible usage. We must make it clear to our audience that this device is not guaranteed to wake him/her as so that we are not blamed for giving drivers a false sense of security. Our device uses a rechargeable battery, which may drain during a long trip causing the device to stop working. A low battery alarm should be programmed into the software so that the driver knows that it may fail soon.
In order to create our software that will detect beta waves, we will either use a filter or the FFT. If we choose to use the FFT, we will rely on an external FFT library to do the mathematics. To avoid legal issues we should ensure the library we are using is public licensed for commercial use. Any code that we reference or borrow should be checked for proper licensing. Alternativly, if we use the TGAM neurosky brain wave chip, this chip will compute the FFT internally. In this case we will only need to give credit to the TGAM manufacturer. Many toys already use the TGAM chip.
Our device cannot obstruct the driver’s view of the road. Electrodes must be placed in a location which does not distract the driver’s concentration. We suggested using an eye-tracker camera to detect if the driver had dosed, hardware for this method would be more likely to get in the way of the driver’s vision which is one reason why we decided to use the alpha wave sensing approach.
Drowsy driving should not be encouraged even with this device, and our ‘company’ takes no responsibility for irresponsible usage. We must make it clear to our audience that this device is not guaranteed to wake him/her as so that we are not blamed for giving drivers a false sense of security. Our device uses a rechargeable battery, which may drain during a long trip causing the device to stop working. A low battery alarm should be programmed into the software so that the driver knows that it may fail soon.
In order to create our software that will detect beta waves, we will either use a filter or the FFT. If we choose to use the FFT, we will rely on an external FFT library to do the mathematics. To avoid legal issues we should ensure the library we are using is public licensed for commercial use. Any code that we reference or borrow should be checked for proper licensing. Alternativly, if we use the TGAM neurosky brain wave chip, this chip will compute the FFT internally. In this case we will only need to give credit to the TGAM manufacturer. Many toys already use the TGAM chip.
Our device cannot obstruct the driver’s view of the road. Electrodes must be placed in a location which does not distract the driver’s concentration. We suggested using an eye-tracker camera to detect if the driver had dosed, hardware for this method would be more likely to get in the way of the driver’s vision which is one reason why we decided to use the alpha wave sensing approach.
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