TY - GEN
T1 - Information-processing-driven interfaces in hybrid large-area electronics systems
AU - Moy, Tiffany
AU - Rieutort-Louis, Warren
AU - Huang, Liechao
AU - Wagner, Sigurd
AU - Sturm, James C.
AU - Verma, Naveen
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/25
Y1 - 2017/9/25
N2 - In the development of human-centric systems, access to a large number of human information signals is required. Such signals can be acquired from both ambient and on-person (wearable) sensors. Large-area electronics (LAE) provide distinct capabilities for creating the required diverse, distributed and conformal sensors. However, the large volume of and complex correlation to target information within the captured data requires significant processing and inference. This makes an LAE-CMOS hybrid system well-suited to such applications. Interfacing between the two technologies is a challenge in hybrid system design. We demonstrate an emerging solution space based on information-processing-oriented interfaces, through two case studies: 1) an image sensing and compression system based on random projection [1]; 2) an electroencephalogram (EEG) acquisition and biomarker-extraction system using compressive-sensing circuits [2].
AB - In the development of human-centric systems, access to a large number of human information signals is required. Such signals can be acquired from both ambient and on-person (wearable) sensors. Large-area electronics (LAE) provide distinct capabilities for creating the required diverse, distributed and conformal sensors. However, the large volume of and complex correlation to target information within the captured data requires significant processing and inference. This makes an LAE-CMOS hybrid system well-suited to such applications. Interfacing between the two technologies is a challenge in hybrid system design. We demonstrate an emerging solution space based on information-processing-oriented interfaces, through two case studies: 1) an image sensing and compression system based on random projection [1]; 2) an electroencephalogram (EEG) acquisition and biomarker-extraction system using compressive-sensing circuits [2].
KW - Large-area electronics (LAE)
KW - hybrid systems
KW - thin-film sensors
KW - thin-film transistors (TFTs)
UR - http://www.scopus.com/inward/record.url?scp=85032697684&partnerID=8YFLogxK
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U2 - 10.1109/ISCAS.2017.8050267
DO - 10.1109/ISCAS.2017.8050267
M3 - Conference contribution
AN - SCOPUS:85032697684
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
BT - IEEE International Symposium on Circuits and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
Y2 - 28 May 2017 through 31 May 2017
ER -