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TDK launches STRIDE positioning software for wearables

Image: TDK
Image: TDK

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TDK Corporation has announced Trusted Positioning STRIDE, an embedded pedestrian dead-reckoning (PDR) software solution engineered specifically for wearables — smart watches, head-mounted devices, glasses and compact sensors. STRIDE provides reliable positioning without the power and hardware demands traditionally required for GNSS-based tracking.

STRIDE’s low-power, sensor-agnostic software engine fuses inertial data with GNSS and opportunistic wireless signals, delivering continuous location tracking both indoors and outdoors.

STRIDE runs as embedded software, giving OEMs freedom to deploy positioning without redesigning hardware or relying on cloud connectivity, according to the company. STRIDE processes sensor data in real time, ensures low latency, and can be configured for on-device, companion-device, or cloud-assisted architectures. This flexibility helps manufacturers balance performance, power and form-factor constraints based on their device strategies.

Main features and benefits

  • Low-power on-device mode: Enables continuous PDR in platforms constrained by power, memory or thermal limits.
  • Geofencing mode: Allows location-based alerts and boundaries for children’s wearables, personnel safety, or activity zones.
  • Tethering of sensors: Seamlessly uses GNSS and sensors from a companion phone, reducing hardware demand on the wearable.
  • Off-device processing: Supports computation on a smartphone or in the cloud for advanced analytics or battery saving.
  • GNSS duty-cycling: Dramatically extends battery life by activating GNSS only when necessary.
  • Flexible mounting support: Works across watches, smart glasses, helmets, chest-mounted devices and more.
  • Embedded and real-time: Runs directly on the device with low latency — no dedicated infrastructure, no specialized hardware
  • Hardware-independent and sensor-agnostic: Integrates easily with a broad range of IMUs and GNSS receivers.

STRIDE is available immediately for trial evaluation, OEM integration, or companion-device implementations.

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