TY - GEN
T1 - I4Toys
T2 - IEEE International Symposium on Technology and Society, ISTAS 2015
AU - Murphy, Fiona Edwards
AU - Donovan, Michelle
AU - Cunningham, James
AU - Jezequel, Tristan
AU - García, Enrique
AU - Jaeger, Alex
AU - McCarthy, John
AU - Popovici, Emanuel M.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/3/22
Y1 - 2016/3/22
N2 - Toys have a very important role in society. Play is a vitally part of every child's life, providing not only entertainment but also influencing the psychological, physiological and social development of a child. Throughout the years, toys have reflected every generation's advances in technology. In this paper wireless technologies, low power computing and sensing are used to expand the capabilities of existing toys. The proposed framework is a first step towards vision enabled gesture recognition, emotion assessment, as well as providing useful physiological feedback such as temperature change or allergic reactions. The toys are equipped with versatile interfaces which allow children with a wide range of disabilities to interact with them. The solution retrofits low cost toy robots with state of the art sensors (PiR, temperature, and microphone), processing capabilities, and wireless technology. A computer vision system for location and control of the toys has also been also developed. This allows one or more toys to work in conjunction with a remote camera to interact with their environment. Two deployment scenarios are presented showing the feasibility of the platform. The first deployment involves using the thermal imaging and PiR sensors to detect "Santa" and capture a thermal recording of him. The second deployment involves using a fixed camera in a room for real time tracking and control of toys. The aim is to provide a platform which can provide robot-human and robot-robot interactions using vision sensors.
AB - Toys have a very important role in society. Play is a vitally part of every child's life, providing not only entertainment but also influencing the psychological, physiological and social development of a child. Throughout the years, toys have reflected every generation's advances in technology. In this paper wireless technologies, low power computing and sensing are used to expand the capabilities of existing toys. The proposed framework is a first step towards vision enabled gesture recognition, emotion assessment, as well as providing useful physiological feedback such as temperature change or allergic reactions. The toys are equipped with versatile interfaces which allow children with a wide range of disabilities to interact with them. The solution retrofits low cost toy robots with state of the art sensors (PiR, temperature, and microphone), processing capabilities, and wireless technology. A computer vision system for location and control of the toys has also been also developed. This allows one or more toys to work in conjunction with a remote camera to interact with their environment. Two deployment scenarios are presented showing the feasibility of the platform. The first deployment involves using the thermal imaging and PiR sensors to detect "Santa" and capture a thermal recording of him. The second deployment involves using a fixed camera in a room for real time tracking and control of toys. The aim is to provide a platform which can provide robot-human and robot-robot interactions using vision sensors.
KW - Assistive Technologies
KW - Embedded Systems
KW - Internet of Things (IoT)
KW - Low Power
KW - Smart Homes
KW - Smart Toys
KW - Thermal Imaging
KW - Wireless Sensor Networks (WSN)
UR - https://www.scopus.com/pages/publications/84965135008
U2 - 10.1109/ISTAS.2015.7439423
DO - 10.1109/ISTAS.2015.7439423
M3 - Conference proceeding
AN - SCOPUS:84965135008
T3 - International Symposium on Technology and Society, Proceedings
BT - 2015 IEEE International Symposium on Technology and Society, ISTAS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 11 November 2015 through 12 November 2015
ER -