NDLI: Multi-modal in-person interaction monitoring using smartphone and on-body sensors

Content Provider	IEEE Xplore Digital Library
Author	Li, Qiang Chen, Shanshan Stankovic, John A.
Copyright Year	2013
Description	Author affiliation: UVA Center for Wireless Health, University of Virginia, Charlottesville, VA 22904, USA (Li, Qiang; Chen, Shanshan; Stankovic, John A.)
Abstract	Various sensing systems have been exploited to monitor in-person interactions, one of the most important indicators of mental health. However, existing solutions either require deploying in-situ infrastructure or fail to provide detailed information about a person's involvement during interactions. In this paper, we use smartphones and on-body sensors to monitor in-person interactions without relying on any in-situ infrastructure. By using state-of-art smartphones and on-body sensors, we implement a multi-modal system that collects a battery of features to better monitor in-person interactions. In addition, unlike existing work that monitors interactions only based on data collected from one person, we emphasize that in-person interactions intrinsically involve multiple participants, and thus we aggregate information from nearby people to identify more interaction details. Evaluation shows our solution accurately detects various in-person interactions and provides insights absent in existing systems.
Starting Page	1
Ending Page	6
File Size	280593
Page Count	6
File Format	PDF
ISBN	9781479903313
ISSN	23251433
e-ISBN	9781479903306
DOI	10.1109/BSN.2013.6575509
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise Speech Cameras Sensor systems Monitoring Global Positioning System
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Multi-modal in-person interaction monitoring using smartphone and on-body sensors.

2D monocular visual odometry using mobile-phone sensors

Using a complex multi-modal on-body sensor system for activity spotting

Smart Sight: a tourist assistant system

Driver assistant services using ubiquitous Smartphone

Recognizing human activities from multi-modal sensors

Accurate Indoor Positioning System Using Near-Ultrasonic Sound from a Smartphone

Automatic road surface profiling with sensors fusion

Real time traffic congestion detection and optimal path selection using smartphone

Multi-modal in-person interaction monitoring using smartphone and on-body sensors

Similar Documents

Multi-modal in-person interaction monitoring using smartphone and on-body sensors.

2D monocular visual odometry using mobile-phone sensors

Using a complex multi-modal on-body sensor system for activity spotting

Smart Sight: a tourist assistant system

Driver assistant services using ubiquitous Smartphone

Recognizing human activities from multi-modal sensors

Accurate Indoor Positioning System Using Near-Ultrasonic Sound from a Smartphone

Automatic road surface profiling with sensors fusion

Real time traffic congestion detection and optimal path selection using smartphone

Multi-modal in-person interaction monitoring using smartphone and on-body sensors