SPECIALIST EQUIPMENT If you have had insufficient sleep
to maintain peak driving alertness, the car or truck, using WOMBATT- Voz either via the driver’s connected smartphone or integrated into the vehicle’s onboard systems, will immediately alert you and suggest a stop and powernap. Plus, at the same time, sending an email or SMS to anyone else you nominate, such as your supervisor or spouse.
HOW DOES IT WORK? The human voice is one of the most complex systems in nature and originates from the virtually infinite physical elements and waveform variations of an auditory quantum state. One can think of a wave breaking onto a beach every few seconds for millions of years. Each wave contains information about a vast range of contributory factors such as far off storms, passing boats, swimmers, seabirds, fish and even raindrops, and no wave for the rest of time will ever be exactly repeated. But a wave created by a nearby passing boat has recognisably different elements as it arrives on the beach to one created by a faraway storm in the middle of the ocean. The same occurs with the voice,
which is a window into the entire human neuromuscular system. Each few seconds of voice contains an enormous amount of data regarding the condition of the body, including neuromuscular related diseases and conditions such as Parkinson disease, ALS, MS, the influence of drugs such as alcohol and many others. One of the conditions which can
be detected in the voice is fatigue due to sleep deprivation. Of all the untold millions of elements existing in the voice, many thousands of them can now be detected using the latest microphone and digital processing power contained in modern smartphones and tablets, connected via GSM, Wi-Fi or satellite to the world’s most advanced AI fatigue algorithm.
ELIMINATING FATIGUE Around 200 voice elements, out of the thousands currently detectable in the human voice, denote tiredness and fatigue due to sleep deprivation. With the release of Apple IOS 6 in 2014 and Android 6 Marshmallow
The company’s AI voice-based FRMS app is compliant with a number of industry standards such as the ANSI/API RP 755 and ISO 31000
in 2015, smartphone microprocessor and microphone technology reached a point where these 200 fatigue elements could be detected in everyday life with the consumer smartphones that everybody carries about with them all day every day. The average smartphone today has 100,000 times more processing power than a personal computer from only a few decades ago, with microphones now so accurate and sensitive that the slightest and most fleeting elements of any sound can be captured, recorded and transmitted. For the first time ever, a technology
exists whereby people can predict their own fatigue risk many hours in advance with more than 90% accuracy, using their own mobile device. Because the AI algorithm
learns each person’s unique individual voice characteristics, accuracy is far higher than older technologies and is continually improving as the algorithm learns and understands more of each person’s individual voice over time. The huge technological advance of
WOMBATT’s voice-based fatigue risk prediction over camera, wearable and vehicle movement fatigue detection technologies means that the objective of Vision Zero – zero deaths due to fatigue, is now within reach in mines, on the roads and throughout industry across the world.
Jean S Verhardt is founder and CEO of WOMBATT Fatigue Management.
www.wombatt.net
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