TY - GEN
T1 - Recording proximity to everyday objects with a radio frequency identification logger while performing activities of daily living
AU - Neuhaeuser, Jakob
AU - Gaensler, Stefan
AU - Kreutzer, Joachim F.
AU - Reimer, Samuel M.F.
AU - Lueth, Tim C.
AU - D'Angelo, Lorenzo T.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/4/20
Y1 - 2014/4/20
N2 - In this contribution we present a portable system which records interactions with objects of daily use automatically. The system is based on an Ultra High Frequency (UHF) Radio-Frequency IDentification (RFID) device and can be worn around the wrist. It is able to detect proximity to objects marked with an RFID tag, store collected information and transfer it wirelessly to a server. Such devices are developed worldwide to enable elderly people to live independently at home as long as possible. One approach, which we aim at with our concept, is to record Activities of Daily Living (ADL), thus making cognitive decline in elderlies easier to detect and compensate. Compared to other approaches (e.g. video/audio surveillance, presence sensors, floor pressure sensors), RFID-based solutions have the advantage of preserving the user's privacy, being robust with multiple inhabitants (or pets) and being easy and low-cost to install. However, their detection range and portability tend to be lower. In this article we present the concept and its evaluation in respect to the achievable detection range and ability to detect proximity to objects in a simulated breakfast scenario.
AB - In this contribution we present a portable system which records interactions with objects of daily use automatically. The system is based on an Ultra High Frequency (UHF) Radio-Frequency IDentification (RFID) device and can be worn around the wrist. It is able to detect proximity to objects marked with an RFID tag, store collected information and transfer it wirelessly to a server. Such devices are developed worldwide to enable elderly people to live independently at home as long as possible. One approach, which we aim at with our concept, is to record Activities of Daily Living (ADL), thus making cognitive decline in elderlies easier to detect and compensate. Compared to other approaches (e.g. video/audio surveillance, presence sensors, floor pressure sensors), RFID-based solutions have the advantage of preserving the user's privacy, being robust with multiple inhabitants (or pets) and being easy and low-cost to install. However, their detection range and portability tend to be lower. In this article we present the concept and its evaluation in respect to the achievable detection range and ability to detect proximity to objects in a simulated breakfast scenario.
UR - https://www.scopus.com/pages/publications/84983152431
U2 - 10.1109/ROBIO.2014.7090606
DO - 10.1109/ROBIO.2014.7090606
M3 - Conference contribution
AN - SCOPUS:84983152431
T3 - 2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
SP - 1856
EP - 1861
BT - 2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
Y2 - 5 December 2014 through 10 December 2014
ER -