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Gesture Recognition

10+ years of IMU gesture IP — hardware-agnostic, production-validated, and deployable on 8-bit MCUs

Market opportunity

Gesture-controlled interfaces are becoming a competitive differentiator across consumer wearables, smartglasses, industrial workforce devices, automotive HMI, and smart home appliances. The market is shifting away from touch and button-based interfaces toward always-on, touchless control. SensiML holds a decade of gesture recognition R&D and production IP across a wide range of sensing technologies.

What SensiML brings to market

Unlike captive ML solutions and pre-canned gesture libraries from silicon vendors, SensiML provides hardware flexibility that lets OEMs port gesture models across IMU parts and vendors. This supply chain independence is a significant commercial advantage. SensiML's gesture library spans common navigation gestures, alphanumeric recognition, and custom gesture vocabularies — all deliverable as turnkey Knowledge Packs or buildable by customers using the Analytics Toolkit.

Capabilities & IP

10+ years

IMU-based gesture recognition R&D and production history

Earliest published gesture recognition work dates to SensiML's foundational R&D — a defensible head start.

≤10kB

Gesture models in as little as 10kB of memory

Feasible on the most cost-sensitive 8-bit and 16-bit microcontrollers. Unlocks gesture UI for mass-market consumer products.

Multi-vendor

Hardware-agnostic: IMU datasets portable across silicon vendors

Models ported across Bosch, Infineon, STMicro, TDK, Rohm, MCube, Coretronic MEMS and others — supporting second sourcing.

Proven use cases

  • Consumer wearable and smartwatch gesture control
  • Smartglasses and AR/XR device navigation
  • Industrial workforce wearable command interfaces
  • Smart home appliance gesture control
  • Toys and gaming peripheral gesture input
  • Automotive HMI gesture interfaces

IP & technical differentiators

  • Proprietary gesture recognition models refined over 10+ years
  • Growing dataset of navigation and alphanumeric gestures for license
  • Hardware-portable: not locked to any single IMU or silicon vendor
  • Deployable on 8-bit MCUs — the most cost-sensitive tier
  • Supports IMU, radar, and passive IR grid array sensor inputs
SensiML's hardware-portable gesture models are a rare asset: most competitors' gesture libraries are silicon-vendor-captive, making SensiML the only vendor that can serve OEMs who need IMU source flexibility or multi-supplier strategy.

See it in action

Gesture Recognition Solution

Gesture Recognition Solution

Hardware-portable gesture models spanning navigation, alphanumeric, and custom vocabularies.

Wizard Wand Gesture Demo

Wizard Wand Gesture Demo

Smart-toy concept built in one week — real-time gesture firmware on a commodity MCU.

Platforms and Plans
SensiML has a growing dataset of common navigation and alphanumeric gestures that can be readily applied and tailored to the specific gesture command set needs of a given project. SensiML offers complete Knowledge Pack development services allowing you to focus on your application. Our team can devise a customized project plan using our gesture training data or yours to create a tailored recognition libraries ready to drop into your application.
Platforms and Plans
For project teams with basic machine learning familiarity, desire to learn, or needing to undertake the tasks entirely in-house, SensiML offers its ML Analytics Toolkit suite. A true end-to-end workflow, SensiML Analytics Toolkit supports the complete process from data collection and labeling to Knowledge Pack generation and testing.
SensiML
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