TY - GEN
T1 - LIBS
T2 - 8th Wireless of the Students, by the Students, and for the Students Workshop, S3
AU - Nguyen, Anh
AU - Raghebi, Zohreh
AU - Banaei-Kashani, Farnoush
AU - Halbower, Ann C.
AU - Vu, Tam
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/10/3
Y1 - 2016/10/3
N2 - Bioelectrical signals representing electrical activities of human brain, eyes, and facial muscles have found widespread use both as important inputs for critical medical issues and as an invisible communication pathway between human and external devices. However, existing techniques for measuring those biosignals require attaching electrodes on the face and do not come in handy sizes for daily usage. Additionally, no study has been capable of providing all three biosignals with high fidelity simultaneously. In this paper, we present a low-cost bioelectrical sensing system, called LIBS, that can robustly collect the biosignal of good quality from inside human ears and extract all those three fundamental biosignals without loss of information. The practicality of LIBS is shown through one real world scenario of a sleep quality monitoring system. Based on preliminary results, we further propose potential healthcare applications utilizing the sensor's outputs for our future research.
AB - Bioelectrical signals representing electrical activities of human brain, eyes, and facial muscles have found widespread use both as important inputs for critical medical issues and as an invisible communication pathway between human and external devices. However, existing techniques for measuring those biosignals require attaching electrodes on the face and do not come in handy sizes for daily usage. Additionally, no study has been capable of providing all three biosignals with high fidelity simultaneously. In this paper, we present a low-cost bioelectrical sensing system, called LIBS, that can robustly collect the biosignal of good quality from inside human ears and extract all those three fundamental biosignals without loss of information. The practicality of LIBS is shown through one real world scenario of a sleep quality monitoring system. Based on preliminary results, we further propose potential healthcare applications utilizing the sensor's outputs for our future research.
KW - Biosignals
KW - Health care
KW - In-ear wearable
KW - Signal separation
UR - http://www.scopus.com/inward/record.url?scp=84994108562&partnerID=8YFLogxK
U2 - 10.1145/2987354.2987363
DO - 10.1145/2987354.2987363
M3 - Conference contribution
AN - SCOPUS:84994108562
T3 - Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
SP - 33
EP - 35
BT - Proceedings of the 8th Wireless of the Students, by the Students, and for the Students Workshop, S3
PB - Association for Computing Machinery
Y2 - 3 October 2016 through 7 October 2016
ER -
