Advancing Location-Invariant and Device-Agnostic Motion Activity Recognition on Wearable Devices

no code implementations • 6 Feb 2024 • Rebecca Adaimi, Abdelkareem Bedri, Jun Gong, Richard Kang, Joanna Arreaza-Taylor, Gerri-Michelle Pascual, Michael Ralph, Gierad Laput

Wearable sensors have permeated into people's lives, ushering impactful applications in interactive systems and activity recognition.

Activity Recognition

Noise-to-Norm Reconstruction for Industrial Anomaly Detection and Localization

no code implementations • 6 Jul 2023 • Shiqi Deng, Zhiyu Sun, Ruiyan Zhuang, Jun Gong

In this study, a reconstruction-based method using the noise-to-norm paradigm is proposed, which avoids the invariant reconstruction of anomalous regions.

Anomaly Detection

Enabling hand gesture customization on wrist-worn devices

no code implementations • 29 Mar 2022 • Xuhai Xu, Jun Gong, Carolina Brum, Lilian Liang, Bongsoo Suh, Kumar Gupta, Yash Agarwal, Laurence Lindsey, Runchang Kang, Behrooz Shahsavari, Tu Nguyen, Heriberto Nieto, Scott E. Hudson, Charlie Maalouf, Seyed Mousavi, Gierad Laput

We present a framework for gesture customization requiring minimal examples from users, all without degrading the performance of existing gesture sets.

Few-Shot Learning Transfer Learning