Tootfinder

LubDubDecoder: Bringing Micro-Mechanical Cardiac Monitoring to Hearables
Siqi Zhang, Xiyuxing Zhang, Duc Vu, Tao Qiang, Clara Palacios, Jiangyifei Zhu, Yuntao Wang, Mayank Goel, Justin Chan
https://arxiv.org/abs/2509.10764

LubDubDecoder: Bringing Micro-Mechanical Cardiac Monitoring to Hearables
We present LubDubDecoder, a system that enables fine-grained monitoring of micro-cardiac vibrations associated with the opening and closing of heart valves across a range of hearables. Our system transforms the built-in speaker, the only transducer common to all hearables, into an acoustic sensor that captures the coarse "lub-dub" heart sounds, leverages their shared temporal and spectral structure to reconstruct the subtle seismocardiography (SCG) and gyrocardiography (GCG) waveforms, and extr…

Soft-Constrained Spatially Selective Active Noise Control for Open-fitting Hearables
Tong Xiao, Reinhild Roden, Matthias Blau, Simon Doclo
https://arxiv.org/abs/2507.12122

Soft-Constrained Spatially Selective Active Noise Control for Open-fitting Hearables
Recent advances in spatially selective active noise control (SSANC) using multiple microphones have enabled hearables to suppress undesired noise while preserving desired speech from a specific direction. Aiming to achieve minimal speech distortion, a hard constraint has been used in previous work in the optimization problem to compute the control filter. In this work, we propose a soft-constrained SSANC system that uses a frequency-independent parameter to trade off between speech distortion a…

TF-MLPNet: Tiny Real-Time Neural Speech Separation
Malek Itani, Tuochao Chen, Shyamnath Gollakota
https://arxiv.org/abs/2508.03047 https://arxiv.org/pdf/25…

TF-MLPNet: Tiny Real-Time Neural Speech Separation
Speech separation on hearable devices can enable transformative augmented and enhanced hearing capabilities. However, state-of-the-art speech separation networks cannot run in real-time on tiny, low-power neural accelerators designed for hearables, due to their limited compute capabilities. We present TF-MLPNet, the first speech separation network capable of running in real-time on such low-power accelerators while outperforming existing streaming models for blind speech separation and target s…

I'm looking for inexpensive linear actuators. I bought a $15 unit that uses an M3x0.5mm threaded rod and it's not horrible, but the effector has a lot of backlash. This has more stroke than I need; I only need about 65mm of stroke. But I wouldn't want to be particularly larger than this. Roughly 20mm x 20mm x 100mm would be my target envelope.
I'll fall back to using this with backlash compensati…