Paper Info
Title
BESI: Reliable and Heterogeneous Sensing and Intervention for In-home Health Applications
Abstract
Advances in sensing, wireless communication, and data analytics have enabled various monitoring systems for smart health applications. However, many challenges remain to deploy such systems in actual homes, such as achieving robustness, unobtrusiveness, fault tolerance, privacy, and minimal user burden. This paper presents how these challenges were overcome in the realization and successful prototype deployment of the Behavioral and Environmental Sensing and Intervention (BESI) system. BESI is designed to sense behavioral activities using wearables and monitor environmental parameters with in-home sensors. With such data, behavioral patterns can then be modeled to determine associations with environmental attributes and, when appropriate, real-time notifications or interventions can be made based on these models. Challenges in building platforms with residential deployment constraints are discussed. BESI is currently deployed for an in-home study on dementia, and the results are presented to illustrate data collection procedures and system performance.
Year
DOI
Venue
2017
10.1109/CHASE.2017.73
2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
Keywords
Field
DocType
Sensing,Intervention,Wearable,Deployment,Cyber-physical-system,Residential,Health Applications
Behavioral pattern,Data collection,Software deployment,Systems engineering,Intelligent sensor,Computer security,Wearable computer,Robustness (computer science),Fault tolerance,Human–computer interaction,Cyber-physical system,Engineering
Conference
ISBN
Citations 
PageRank 
978-1-5090-4723-9
2
0.38
References 
Authors
25
11
Name
Order
Citations
PageRank
Ridwan Alam142.46
Joshua Dugan220.38
Nutta Homdee321.06
Neeraj Gandhi420.72
Benjamin Ghaemmaghami521.06
Harshitha Meda620.38
Azziza Bankole792.15
Martha Anderson841.11
Jiaqi Gong93210.37
Tonya L. Smith-jackson10759.22
John Lach111898187.99