One Llama Technology Unveils the Sensor Sound (SSLlama) Toolkit for Wearable Devices
New York, NY — Jan 07, 2014 / (http://www.myprgenie.com) — The One Llama (www.onellama.com) audio intelligence platform provides the wearable devices industry’s first “artificial ear” that makes it possible to add audio smarts to any devices, ranging from smartphones, watches, activity cameras, fitness monitors, and other wearables. Hardware manufacturers can use the SSLlama Toolkit to incorporate One Llama’s audio inte lligence to their specific applications.
The latest personal hardware devices have very powerful processors that go easy on battery life and feature advanced audio and video capabilities. For example, certain new smartphones such as the Google owned Motorola Moto X, could be passive all day listening devices without degrading the battery life or impacting other phone functionality. “The inherent power of the new devices is amazing,” says Hassan Miah, CEO of One Llama, “but the hardware is limited by software applications that do not match the hardware’s potential. One Llama brings the audio intelligence technology that will help fulfill the promise of wearable devices.”
The applications for applying One Llama audio intelligence to wearables are many. One application is to use the SSLlama as a warning system to alert the user of incoming dangers that may otherwise be ignored. “How many times is someone texting or chatting on the phone and misses an important queue such as an oncoming car. The SSLlama can help address this problem by making a wearable device act as a second set of ears,” says Miah. The automotive industry is already incorporating sensor devices to improve the driver experience.” A fun application is to use SSLlama to give a Thumbs up/Thumbs down” based on whether a person is humming along to a song. There are many other applications to be used in fitness, sports, health monitors, mechanical device monitoring, academics and more.
The SSLlama Toolkit is based on technology that began over 10 years ago after researchers at the University of Illinois National Center for Supercomputing Applications (NCSA) received a grant from the National Science Foundation. Work performed at the NCSA used machine learning and developed a novel method to analyze large datasets of sound information. David Tcheng, Chief Science Officer and Co-founder says “a unique collaboration of scientists from different disciplines such as computer science and library information science led to the core technology of the platform.”