Before motion control became part of smartphones, game controllers, and wearables, the inertial measurement unit began with a much more serious challenge: could a machine understand its own movement without relying on external signals? Early IMUs combined accelerometers and gyroscopes to measure motion, rotation, and orientation. Developed for military navigation and later used in the Apollo program, they showed that machines could track movement independently and respond to

Before voice assistants became part of everyday life, voice control began with a much simpler question: could a machine recognize what a person was saying? Early systems like Bell Labs’ AUDREY and IBM Shoebox showed that spoken words could become digital input. They were limited, slow, and far from natural conversation, but they proved that machines could begin to understand human speech. Over time, voice control moved from lab prototypes to dictation software, smartphones, s

Before Neuralink made brain-computer interfaces part of the mainstream conversation, Cyberlink showed an earlier version of the same ambition. Introduced in 1996 by Brain Actuated Technologies, Cyberlink used a forehead-mounted headband to capture signals from the brain, eyes, and facial muscles. It was an early attempt to turn human intent into computer control. The system found early use in accessibility and later influenced consumer experiments such as the OCZ Neural Impul

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

Before computers could respond to gesture, they first had to learn how to see movement. Welcome to another chapter of Input Origins, where we rewind to the moments that changed how we interact with technology. Computer vision opened a new path for human-computer interaction. Instead of holding a controller, pressing a key, or wearing a glove, the body itself could become the interface. Myron Krueger’s VIDEOPLACE showed an early version of that idea in the 1970s. Decades later

Before gesture control became a feature in games, headsets, and smart devices, it was something researchers tried to build by strapping sensors to the hand. The Sayre Glove, developed in 1977, was one of the first devices to translate finger movement into digital signals. It showed that the hand itself could become an input device. Years later, the Nintendo Power Glove brought that idea into living rooms. It was ambitious, imperfect, and ahead of its time, but it introduced a

Before the mouse, computers were mostly controlled through commands, punch cards, and keyboards. Interaction was indirect, technical, and far from the way people naturally point, choose, and move through information. The computer mouse changed that. Introduced by Douglas Engelbart during the 1968 “Mother of All Demos,” it turned hand movement into cursor movement and made computers feel more visual, direct, and collaborative. A small wooden block on wheels helped open the pat

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...

Before touchscreens became normal, the stylus showed a different way to control computers. Instead of typing commands or pressing buttons, users could draw directly on a surface and turn hand movement into digital input. The RAND Tablet, introduced in 1964, helped define the idea of graphical input. It connected human movement, precision, and computation in a new way. From there, the story moves toward modern tablets, digital drawing, gestures, and neural signals. It is a sho

Every input device starts with the same question: how do humans tell machines what they want? For decades, the answer changed again and again. Dials, buttons, remotes, touchscreens, and neural interfaces each brought control closer to the user. This is where -Input Origins- begins. The first edition looks at the shift from physical control to remote control, starting with the Zenith Space Command, the first wireless TV remote. Input Origins is a monthly series about the devic

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...