Paper Info
Title
Energy Modeling and Architecture Exploration for Emotion Detection Systems
Abstract
Energy consumption is one of the main constraints which are faced by designers of communicating objects. Indeed, we are seeing a real increase in the number of communicating objects ranging from customer applications (video games, health care objects) to industrial applications (M2M, automatic car parking, drones). This paper presents a new high level model of autonomy estimation for wearable communicating objects, and more particularly for emotion detection systems and a design space exploration. The innovation in this methodology is to meet the autonomy constraint of health objects while maintaining a reasonable performance which is defined by the emotion recognition rate. The influence of the architecture (RF protocol, kind and number of sensors, ...) and its configuration of the system autonomy and emotion recognition rate is studied in order to propose the most suitable system. The different results show that we can get a high recognition rate and a sufficient autonomy for users.
Year
DOI
Venue
2016
10.1109/DSD.2016.54
2016 Euromicro Conference on Digital System Design (DSD)
Keywords
Field
DocType
Health care objects,Energy modeling,physiological signals,emotion recognition,design space exploration
Energy modeling,Architecture,Wearable computer,Computer science,Autonomy,Real-time computing,Ranging,Human–computer interaction,Drone,Design space exploration,Energy consumption,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-5090-2818-4
0
0.34
References 
Authors
3
3
Name
Order
Citations
PageRank
Chaka Koné100.34
Cécile Belleudy28412.98
Nhan Le Thanh32814.98