This week on WDD’s HotSpot:
- Cerevo has introduced new XON Snow-1 bindings that use an array of sensors to provide information to boarders on how to improve their skills. At the bottom of each foot, there are four load sensors to help boarders visualize their balance, and two flex sensors provide information on the board’s bending level. Boarders can also receive real-time tracking data via their smartphones, and a video overlay function records data, such as flex, load, balance, GPS, and acceleration of movement.
- Researchers at the University College London have developed a new method of processing signals via fiber optic cable, which could increase the distance at which error-free data is transmitted via submarine cables without additional signal amplification. Using a laser to generate the optical carrier, the research teams passed it through a comb generator to form seven equidistantly-spaced, frequency locked signals. This super-channel signal was then introduced into one end of a fiber optic cable and captured at the other end with a high-speed super-receiver. Employing a range of new signal processing techniques specifically developed by the researchers, reception of all the channels was received intact and without error.
- New technology, CarVi, brings many of the benefits of high-end driving technology to the aid of drivers and their families. It watches the key factors that contribute to accidents, and checks for ways to help passengers feel safe and comfortable. It monitors safe lane changes, front-end collision dangers, reckless driving and hard braking, and jackrabbit starts.
- iGel Systems has produced a full-body airbag for motorcyclists, bikers, skiers, and other hobbyists and professionals. Using up to 20 individual nitrogen-activated airbags to protect the head, torso, and lower body, this wearable technology was inspired by the hedgehog’s ability to roll into a protective ball… and who doesn’t like hedgehogs? Like other airbag systems, the i Gel would use a series of microelectromechanical system (MEMS) smart sensors to detect crash-level forces and automatically inflate around the wearer.
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