How helping a nervous student on his first day at work spiked the signal that formed the team behind the world’s first neural wristband. The discussion explores how raw wrist signals were gradually transformed into structured data, algorithms, and machine-learning models capable of recognizing intent before movement. 🧠 Early Exposure to BCI Concepts Early encounters with brain–computer interfaces revealed a simple truth: breakthrough technology often begins in imperfect form

Before words, there were gestures. Now technology is learning their meaning. Hand gestures are our oldest interface - instinctive, not learned. We never shaped them for machines; they evolved for human communication and interaction. Today, gestures are becoming the language through which we communicate with machines. What's in a Name? “That which we call a rose by any other name would smell as sweet.”  Everybody is trying to name and claim dominance in the post-iPhone era - f

Neural control delivers what every interface demands: reliability at scale, and this conversation explores how it’s done at the product level. Smart glasses are evolving fast, but input design still lags behind. Legacy interfaces don’t fit face-worn devices. Solving the interaction challenge unlocks the next wave of adoption. The Paradox of Innovation: Familiar Enough to Use, New Enough to Matter True innovation walks a fine line. It must feel familiar enough to trust, yet ne

The pace of technological advancement has always been dictated by user interfaces. Buttons felt safe. The mouse brought computers to the masses. Touchscreens put technology in every palm. A new standard is forming, and the leaders are already moving. Neural gestures are inevitable — rich in expression, intuitive in feel, natural to use. Neural Wristband. Control at the Speed of Intention For AR glasses to work seamlessly in everyday life, interaction must be effortless, touch

What's in a Name? “That which we call a rose by any other name would smell as sweet.”  AR, XR, MR, or Spatial - the labels may shift, but the essence remains.  At their core, all face-worn devices serve two functions: they display digital content and enable the user to interact. Their ability to perform these tasks ultimately determines their value.  While the category name may change, what truly matters are two key dimensions: display immersion and input functionality. The G

AR  and  AI  glasses are coming! But, without a touchscreen in our hands, how will we interact with them?  Tomorrow’s interface won’t live on a phone screen, rather it will overlay information and experiences seamlessly onto our world.  Maps, messages, and apps will appear as part of what we see, creating a continuous experience, freeing us from constantly holding a phone, and showing exactly what we need, when we need it.  Here are the four input methods vying for dominance.

Mudra’s SNC  sensors pick up  EMG signals  from your wrist, processes them with powerful algorithms, and converts them into digital commands. The result? Instant,   touch-free control   of your devices, powered by the natural movement of your fingers. Mudra’s sensors are a  breakthrough  in wrist-based sEMG. But what is EMG anyway, and how does it work? EMG. Your Muscles Whisper—We Listen Just like a microphone captures sound waves in the air, EMG sensors detect the tiny elec

The journey of gesture control technology is a fascinating exploration of human-computer interaction, offering increasingly intuitive ways to engage with digital devices. From early wearables like the DataGlove , to groundbreaking systems such as the Kinect and Myo Armband and the outcomes of today in the form of neural wristbands, the evolution of this technology has transformed the landscape of digital interaction. A Historical Perspective Gesture control technology began i

Sometimes you find yourself lucky to be part of a team designing a revolution. Not a product. Not an interface. But a new way of...

Gesture control offers an excellent input solution; however, when it is camera-based, it is limited by line-of-sight and field of view, thus requiring multiple cameras and significant processing power. These trade-offs work against achieving a lightweight device with a full day lasting battery. A neural interface wearable wristband can deliver a pointing device functionality and even enhance built-in gesture control cameras with interactions beyond field of view boundary and

A presentation by CSO and President of Wearable Devices - Guy Wagner. Hi, I am Guy Wagner - Chief scientist and co-founder of Wearable...

A neural input wristband will replace the dead weight of XR glasses In the constantly changing realm of technology, gesture recognition...

Our exploration of smart glasses input methods led us through the landscape of Human-Computer Interaction and the measures of a good user...

In the previous post, we expanded on the importance of sensor fusion, and expanded on types of sensors used in different devices. In this...

In our previous blog post, we covered essential product specifications for neural input wristbands, discussing the ideal sensor count and...

In the last blog, we explored the system specification guidelines for neural input wristbands including reach, accuracy, latency and MAC....

In the last blog we examined the tradeoffs and balance between the functionality, the accuracy and the design of a neural input wristband...

In the previous blog post we delved further into the world of HCI (Human-Computer Interaction) and BCI (Brain-Computer Interfaces), and...

In the previous blog post, we introduced the conventional approach to Human-Computer Interaction (HCI), which tends to prioritize input...

In the previous blog, we embarked on an exciting journey into the realm of designing a neural input wristband for Extended Reality (XR)....