SlimeVR Butterfly Trackers – nRF52833-based, ultra-slim, full-body VR trackers offer up to 48h battery life (Crowdfunding)

https://fed.brid.gy/r/https://www.cnx-software.com/2026/02/12/slimevr-butterfly-trackers-nrf52833-based-ultra-slim-full-body-vr-trackers-offer-up-to-48h-battery-life/

SlimeVR Butterfly Trackers – nRF52833-based, ultra-slim, full-body VR trackers offer up to 48h battery life (Crowdfunding)

Designed by SlimeVR in Rotterdam, Netherlands, the SlimeVR Butterfly Trackers are open-hardware, IMU-based, ultra-slim, full-body VR trackers designed for virtual reality gaming, motion capture, VTubing, and more. The trackers provide full-body positional tracking without base stations, cameras, Wi-Fi, or Bluetooth. Each tracker uses an IMU to measure absolute rotation and transmits data over a custom 2.4 GHz ESB protocol via a dedicated dongle supporting up to 10 trackers, eliminating occlusion issues and router setup. Based on Nordic Semi’s nRF52833 wireless MCU, the split “butterfly” design places the PCB and 90 mAh battery side-by-side to achieve a thickness of under 7 mm and a weight below 10 grams, while a flexible interconnect improves comfort when worn under clothing. The system offers a 100–200 Hz refresh rate, <15 ms latency, over 48 hours of battery life with USB-C charging and OTA firmware updates. SlimeVR Butterfly Trackers specifications: Wireless MCU – Nordic nRF52833 CPU

CNX Software - Embedded Systems News

Philips Hue Upgrades Lights with Built-in Motion Sensing Feature

Philips Hue has announced the launch of a new feature called Hue MotionAware, which upgrades its smart bulbs to include built-in motion sensing through radio-frequency (RF) sensing technology. This feature enables Hue lights to detect movement without requiring separate motion sensors. Available for... [More info]

Philips Hue Upgrades Lights with Built-in Motion Sensing Feature

How do you think the new Hue MotionAware feature, which uses RF sensing technology to detect motion without separate sensors, will impact the convenience and functionality of smart homes? Do you see any potential challenges with the four motion zone limit?

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GitHub - MaliosDark/wifi-3d-fusion: WiFi-3D-Fusion is an open-source research project that leverages WiFi CSI signals and deep learning to estimate 3D human pose, fusing wireless sensing with computer vision techniques for next-generation spatial awareness.

WiFi-3D-Fusion is an open-source research project that leverages WiFi CSI signals and deep learning to estimate 3D human pose, fusing wireless sensing with computer vision techniques for next-gener...

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