2 citations · 3 across the 3 of their papers we have counts for
6 papers
Direction Estimation of Sound Sources Using Microphone Arrays and Signal Strength
Mahdi Ali Pour, Zahra Habibzadeh
Sound-tracking refers to the process of determining the direction from which a sound originates, making it a fundamental component of sound source localization. This capability is…
An AI-Native Runtime for Multi-Wearable Environments
Chulhong Min, Utku Günay Acer, SiYoung Jang +5
The miniaturization of AI accelerators is paving the way for next-generation wearable applications within wearable technologies. We introduce Mojito, an AI-native runtime with adva…
Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart Cameras
Chulhong Min, Juheon Yi, Utku Gunay Acer +1
Overlapping cameras offer exciting opportunities to view a scene from different angles, allowing for more advanced, comprehensive and robust analysis. However, existing visual anal…
Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables
Taesik Gong, Si Young Jang, Utku Günay Acer +2
The advent of tiny artificial intelligence (AI) accelerators enables AI to run at the extreme edge, offering reduced latency, lower power cost, and improved privacy. When integrate…
SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices
Chulhong Min, Akhil Mathur, Utku Gunay Acer +2
We present SensiX++ - a multi-tenant runtime for adaptive model execution with integrated MLOps on edge devices, e.g., a camera, a microphone, or IoT sensors. SensiX++ operates on…
SensiX: A Platform for Collaborative Machine Learning on the Edge
Chulhong Min, Akhil Mathur, Alessandro Montanari +2
The emergence of multiple sensory devices on or near a human body is uncovering new dynamics of extreme edge computing. In this, a powerful and resource-rich edge device such as a…