Ke Li

schoolCornell Universitybar_chart#1586 Global Rank

Total Papers

HCI Rank

#1586

Research Areas

Years Active

Recent Publications

EchoGuide: Active Acoustic Guidance for LLM-Based Eating Event Analysis from Egocentric Videos

Self-recording eating behaviors is a step towards a healthy lifestyle recommended by many health professionals. However, the current practice of manually recording eating activities using paper records or smartphone apps is often unsustainable and inaccurate. Smart glasses have emerged as a promising wearable form fac…

CHI '245th+ AuthorHand Gesture Recognition +1

EchoWrist: Continuous Hand Pose Tracking and Hand-Object Interaction Recognition Using Low-Power Active Acoustic Sensing On a Wristband

Our hands serve as a fundamental means of interaction with the world around us. Therefore, understanding hand poses and interaction contexts is critical for human-computer interaction (HCI). We present EchoWrist, a low-power wristband that continuously estimates 3D hand poses and recognizes hand-object interactions us…

CHI '241st AuthorHand Gesture Recognition +3

EyeEcho: Continuous and Low-power Facial Expression Tracking on Glasses

In this paper, we introduce EyeEcho, a minimally-obtrusive acoustic sensing system designed to enable glasses to continuously monitor facial expressions. It utilizes two pairs of speakers and microphones mounted on glasses, to emit encoded inaudible acoustic signals directed towards the face, capturing subtle skin def…

UBICOMP '232nd AuthorHuman Pose & Activity Recognition +1

PoseSonic: 3D Upper Body Pose Estimation Through Egocentric Acoustic Sensing on Smartglasses

"In this paper, we introduce PoseSonic, an intelligent acoustic sensing solution for smartglasses that estimates upper body poses. Our system only requires two pairs of microphones and speakers on the hinges of the eyeglasses to emit FMCW-encoded inaudible acoustic signals and receive reflected signals for body pose e…

UBICOMP '235th+ AuthorVoice User Interface (VUI) Design

HPSpeech: Silent Speech Interface for Commodity Headphones

We present HPSpeech, a silent speech interface for commodity headphones. HPSpeech utilizes the existing speakers of the headphones to emit inaudible acoustic signals. The movements of the temporomandibular joint (TMJ) during speech modify the reflection pattern of these signals, which are captured by a microphone posi…

UBICOMP '235th+ AuthorElectrical Muscle Stimulation (EMS) +2

EchoNose: Sensing Mouth, Breathing and Tongue Gestures inside Oral Cavity using a Non-contact Nose Interface

Sensing movements and gestures inside the oral cavity has been a long-standing challenge for the wearable research community. This paper introduces EchoNose, a novel nose interface that explores a unique sensing approach to recognize gestures related to mouth, breathing, and tongue by analyzing the acoustic signal ref…

CHI '232nd AuthorVibrotactile Feedback & Skin Stimulation +2

EchoSpeech: Continuous Silent Speech Recognition on Minimally-obtrusive Eyewear Powered by Acoustic Sensing

We present EchoSpeech, a minimally-obtrusive silent speech interface (SSI) powered by low-power active acoustic sensing. EchoSpeech uses speakers and microphones mounted on a glass-frame and emits inaudible sound waves towards the skin. By analyzing echos from multiple paths, EchoSpeech captures subtle skin deformatio…

Quick Actions

Share this page

ios_share

X in mail

https://hci.top/en/authors/10912?source=all