Hardware
Reference wrist device
A development platform that captures inertial motion, surface electromyography, and contact pressure from the same wrist, in one form factor.
Wearable interface technology
Wearable input for AI glasses.
Suhwa combines multimodal wrist sensing with intent-decoding software to help product teams prototype subtle, voice-free commands.
Reference wrist device Intent software Integration tools
A product system for defined commands.
Suhwa is a software company. The long-term product is the intent-decoding stack that turns wrist signals into reliable commands — and the integration layer that carries them into a partner’s device. We build hardware because the sensing we need does not exist off the shelf yet.
Not every moment is a voice moment. Wrist input is a complementary option for moments when quiet, deliberate control matters.
Software
Intent decoding
Software that interprets captured patterns against the compact command vocabulary defined for a product workflow.
Integration
Tools for product teams
An integration layer for passing the interpreted command into the connected product experience being explored.
Why we build the hardware
Three modalities, one wrist.
Commercial wristbands and smartwatches sense one or two of these well. Few, if any, bring all three together in a single wrist-worn form factor — which is what a compact, dependable command vocabulary needs. So we build the sensing ourselves, tightly coupled to the decoding stack, and use it to run early pilots.
- IMU
- Inertial measurement Orientation and movement of the wrist and forearm.
- EMG
- Surface electromyography Muscle activation that accompanies an intended movement.
- Pressure
- Contact sensing Force at the wrist, which helps separate a deliberate gesture from incidental motion.
Representative command primitives
- select
- back
- next
- confirm
- capture
Examples under development · defined per workflow
A gesture is useful when it belongs to a workflow.
Suhwa starts with an intentional product action, then works backward to the movement, sensing, and interpretation needed to support it.
MoveThe user makes a subtle, intentional gesture.
SenseThe reference device observes EMG and motion at the wrist.
InterpretSoftware maps the captured pattern to the intended command.
IntegrateThe command enters the defined product workflow.
Reference system in active prototype development.
For product teams building AI glasses and next-generation wearables
Start with one product moment.
A focused design partnership turns an abstract interaction question into something a team can examine in context.
Explore a design partnership- Define
- A small command vocabulary around a real workflow and its constraints.
- Explore
- The interaction with Suhwa’s reference hardware and software.
- Evaluate
- Against criteria that matter to that product, environment, and user.
- Decide
- Whether the concept warrants deeper technical integration.
How we work, and how we make money.
Suhwa is software-first by design. Hardware is how we get the interaction proven; software and IP are what we intend to sell.
- Paid pilots on our own hardware
- A scoped, paid engagement: one command vocabulary, one workflow, Suhwa’s reference device and decoding stack, and a shared evaluation of what the interaction is worth to the product.
- Manufacturing moves out
- Once the sensing design is proven, hardware production moves to contract manufacturers. Suhwa keeps the sensing design and the decoding stack, not the factory.
- OEM integration and licensing
- Revenue comes from integrating the intent-decoding software into OEM devices and licensing the underlying IP and sensing design — not from selling wrist hardware as a product line.
Now
Next
At scale
Current stage: design-partner discovery. The aim is focused learning, not a one-size-fits-all gesture program.
Suhwa, Inc. · Austin, Texas
Research, directed toward a practical product.
Suhwa is bringing wearable-sensing and human-machine-interface research toward a product system for AI glasses and next-generation wearable devices.
Technical problem owner and lead researcher
Heeyong is a UT Austin PhD graduate whose research sits exactly where this product does: brain–computer interfaces, human–machine interfaces, and human–robot interaction. The work has been hardware and software together — building the wearable sensing, then building the processing that makes its signals usable.
That is the same problem Suhwa is solving commercially, which is why the company builds its own sensing rather than waiting for the market to supply it.
- BCI Brain–computer interfaces
- HMI Human–machine interfaces
- HRI Human–robot interaction
Peer-reviewed work
The sensing is not speculative.
Selected publications, first-authored, on the wearable EMG sensing and signal processing the product is built on.
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IEEE Transactions on Neural Systems and Rehabilitation Engineering 2026
Multi-Day Muscle Fatigue Estimation During Dynamic Exercise Using sEMG E-Tattoo and BH-IEEMD Processing
Vol. 34, pp. 3004–3015 doi:10.1109/TNSRE.2026.3702857
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Device (Cell Press) 2025
A wireless forehead e-tattoo for mental workload estimation
Vol. 3, Issue 8, 100781 doi:10.1016/j.device.2025.100781
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IEEE EMBC 2025
Gaussian–Laplacian Mixture–Enhanced AGLR for Accurate EMG Onset Detection
47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1–4 doi:10.1109/EMBC58623.2025.11253958
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IEEE EMBC 2023
A Multi-Day Wearable Surface EMG E-Tattoo for Fatigue Monitoring
45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1–4 doi:10.1109/EMBC40787.2023.10340880
Building a product that needs a different way to interact?
Tell us about the product moment, operating context, or command you want to explore. We will start with the workflow and determine whether wrist input is worth investigating.