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

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.HC2024

WristSonic: Enabling Fine-grained Hand-Face Interactions on Smartwatches Using Active Acoustic Sensing

Saif Mahmud, Kian Mahmoodi, Chi-Jung Lee +2

Hand-face interactions play a key role in many everyday tasks, providing insights into user habits, behaviors, intentions, and expressions. However, existing wearable sensing syste…

cs.HC20241 cited

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

Vineet Parikh, Saif Mahmud, Devansh Agarwal +3

Self-recording eating behaviors is a step towards a healthy lifestyle recommended by many health professionals. However, the current practice of manually recording eating activitie…

cs.HC2024

SeamPose: Repurposing Seams as Capacitive Sensors in a Shirt for Upper-Body Pose Tracking

Tianhong Catherine Yu, Manru Mary Zhang, Peter He +6

Seams are areas of overlapping fabric formed by stitching two or more pieces of fabric together in the cut-and-sew apparel manufacturing process. In SeamPose, we repurposed seams a…

cs.HC2024

SonicID: User Identification on Smart Glasses with Acoustic Sensing

Ke Li, Devansh Agarwal, Ruidong Zhang +6

Smart glasses have become more prevalent as they provide an increasing number of applications for users. They store various types of private information or can access it via connec…

cs.HC2024

MunchSonic: Tracking Fine-grained Dietary Actions through Active Acoustic Sensing on Eyeglasses

Saif Mahmud, Devansh Agarwal, Ashwin Ajit +4

We introduce MunchSonic, an AI-powered active acoustic sensing system integrated into eyeglasses to track fine-grained dietary actions. MunchSonic emits inaudible ultrasonic waves…