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.
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.
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
Hardware-portable gesture models spanning navigation, alphanumeric, and custom vocabularies.
Smart-toy concept built in one week — real-time gesture firmware on a commodity MCU.