We crave effortless command of the digital world around us, however FPs ruin the experience. Here is our approach to the problem. — Controlling digital devices with finger movements is a holy grail. We all want to be able to command the growing digital world around us effortlessly and intuitively. One of the difficulties with such technology is recognizing unintentional movements as gestures. …

The Challenge — acquire bio-potentials from the surface of the skin, through the medium of an electrode, then process those data streams and classify each pattern of signals as the correct finger movement. — Nowadays, when you’re developing technology, especially consumer electronics, you want the best-of-the-best in terms of user experience. At Wearable Devices we are developing Mudra, a neural input technology in the form factor of a watch strap which acts as an extension of the hand into the digital world. It detects…

Let’s say you want to develop a mobile app which includes deep learning functionality. However, deep learning is only part of the software stack. Google’s Tensorflow deep learning framework is ideal for such usage. …

At Wearable Devices we are building the next big thing in human-machine interfaces. So what does this have to do with deep learning and biopotentials? Biopotentials are electric potentials (typically on a scale of micro-volts) that are measured between points on living cells. We measure such biopotentials directly from the…