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Shuwei Zong

dblp:150/3370 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Internet of things and sensor networks · 38% Wireless sensing and localization · 38% Wireless networking · 23%
Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › eye tracking
gaze-based interaction
0.212014
It starts with iGaze: visual attention driven networking with smart glasses · MobiCom 2014
Internet of things and sensor networks
wearable computing
0.212014
Demo: visual attention driven networking with smart glasses · MobiCom 2014
Wireless networking › wireless personal area network
device pairing
0.122014
Demo: visual attention driven networking with smart glasses · MobiCom 2014
It starts with iGaze: visual attention driven networking with smart glasses · MobiCom 2014

Methods — techniques the papers use, named apart from their topics

doppler effect · 0.6visual attention detection · 0.4double-matching scheme · 0.4orientation sensing · 0.2
YearPublicationVenuePosition
2014 It starts with iGaze: visual attention driven networking with smart glasses
abstract
In this work, we explore a new networking mechanism with smart glasses, through which users can express their interest and connect to a target simply by a gaze. Doing this, we attempt to let wearable devices understand human attention and intention, and pair devices carried by users according to such attention and intention. To achieve this ambitious goal, we propose a proof-of-concept system iGaze, a visual attention driven networking suite: an iGaze glass (hardware), and a networking protocol VAN (software). Our glass, iGaze glass, is a low-cost head-mounted glass with a camera, orientation sensors, microphone and speakers, which are embedded with our software for visual attention capture and networking. A visual attention driven networking protocol (VAN) is carefully designed and implemented. In VAN, we design an energy efficient and highly accurate visual attention determination scheme using single camera to capture user's communication interest and a double-matching scheme based on visual direction detection and Doppler effect of acoustic signal to lock the target devices. Using our system, we conduct a series of trials for various application scenarios to demonstrate the effectiveness of our system.
Lan Zhang 0002, Xiang-Yang Li 0001, Wenchao Huang 0001, Kebin Liu 0001, Shuwei Zong, Xuesi Jian, Puchun Feng, Taeho Jung, Yunhao Liu 0001
MobiCom5
2014 Demo: visual attention driven networking with smart glasses
abstract
In this demo, we propose a proof-of-concept networking system for smart glasses, through which users can express their interest and connect to a target simply by a gaze. Our system iGaze is a visual attention driven networking suite: an iGaze glass (hardware) and a networking protocol VAN (software). Our glass is a low-cost head-mounted glass with a camera, orientation sensors, microphone and speakers, which are embedded with our software for visual attention capture and networking. A visual attention driven networking protocol (VAN) is carefully designed and implemented. In VAN, we design an energy efficient and highly accurate visual attention determination scheme using single camera to capture user's communication interest and a double-matching scheme based on visual direction detection and Doppler effect of acoustic signal to lock the target devices. iGaze has separated and modularized hardware and software design. It can run on top of existing networking protocols, e.g., Wi-Fi.
Lan Zhang 0002, Xiang-Yang Li 0001, Wenchao Huang 0001, Kebin Liu 0001, Shuwei Zong, Xuesi Jian, Puchun Feng, Taeho Jung, Yunhao Liu 0001
MobiCom5