Paper Info
Title
Demo abstract: Inviz: Low-power personalized gesture recognition using wearable textile capacitive sensor arrays
Abstract
This demonstration presents Inviz, a low-cost gesture recognition system that uses flexible textile-based capacitive sensors. Gestures are recognized using proximity-based movement detection using flexible capacitive sensor arrays that can be built into the environment or placed on to the body or be integrated into clothing. Inviz provides an innovative interface to home automation systems to simplify environmental control for individuals with limited-mobility resulting from paralysis, paresis, and degenerative diseases. Proximity-based sensing obviates the need for physical contact which can result in skin abrasion which is particularly deleterious to people with limited-to-no sensitivity in their extremities. A custom-designed wireless module maintains a small form factor facilitating placement based on an individual's needs. Our system leverages a hierarchical sensing technique which facilitates learning gestures based on the individual and placement of the sensors. Classification uses just-in-time embedded computational resources to provide accurate responses while maintaining a low average power consumption, in turn reducing the impact of batteries on the form factor. To illustrate the use of Inviz in a smart home environment, we demonstrate an end-to-end home automation system that controls small appliances. We will interface our system with a home automation gateway to demonstrate a subset of potential applications. This interactive demonstration highlights the intuitiveness and extensibility of the Inviz prototype.
Year
DOI
Venue
2015
10.1109/PERCOMW.2015.7134029
Pervasive Computing and Communication Workshops
Keywords
Field
DocType
capacitive sensors,domestic appliances,embedded systems,gesture recognition,home automation,interactive systems,textiles,wearable computers,Inviz,appliance controls,degenerative diseases,environmental control,flexible textile-based capacitive sensors,form factor,gesture learning,hierarchical sensing technique,home automation gateway,home automation systems,just-in-time embedded computational resources,limited-mobility user,limited-to-no sensitivity,low-power personalized gesture recognition,paralysis,paresis,physical contact,power consumption,proximity-based movement detection,proximity-based sensing,skin abrasion,smart home environment,user interface,wearable textile capacitive sensor arrays,wireless module
Small form factor,Gesture,Wearable computer,Computer science,Gesture recognition,Home automation,Capacitive sensing,Default gateway,Computer hardware,Extensibility,Distributed computing,Embedded system
Conference
Citations 
PageRank 
References 
0
0.34
4
Authors
4
Name
Order
Citations
PageRank
Gurpreet Singh1378.36
Alexander Nelson2152.69
Robucci, R.310.69
Patel, C.4285.51