activity
20202024
most citedNew interfaces for musical expression

34 citations · 43 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

A Phenomenological AI Foundation Model for Physical Signals

Jaime Lien, Laura I. Galindez Olascoaga, Hasan Dogan +4

The objective of this work is to develop an AI foundation model for physical signals that can generalize across diverse phenomena, domains, applications, and sensing apparatuses. W…

eess.SP2024★ 8 cited

Soli-enabled Noncontact Heart Rate Detection for Sleep and Meditation Tracking

Luzhou Xu, Jaime Lien, Haiguang Li +17

Heart rate (HR) is a crucial physiological signal that can be used to monitor health and fitness. Traditional methods for measuring HR require wearable devices, which can be inconv…

cs.LG2023★ 1 cited

Gated Compression Layers for Efficient Always-On Models

Haiguang Li, Trausti Thormundsson, Ivan Poupyrev +1

Mobile and embedded machine learning developers frequently have to compromise between two inferior on-device deployment strategies: sacrifice accuracy and aggressively shrink their…

cs.HC2022

Fields: Towards Socially Intelligent Spatial Computing

Leonardo Giusti, Lauren Bedal, Eiji Hayashi +4

In our everyday life, we intuitively use space to regulate our social interactions. When we want to talk to someone, we approach them; if someone joins the conversation, we adjust…

cs.HC2020★ 34 cited

New interfaces for musical expression

Ivan Poupyrev, Michael J. Lyons, Sidney Fels +1

The rapid evolution of electronics, digital media, advanced materials, and other areas of technology, is opening up unprecedented opportunities for musical interface inventors and…