TY - GEN
T1 - Adaptive compressed sensing at the fingertip of Internet-of-Things sensors
T2 - 20th Design, Automation and Test in Europe, DATE 2017
AU - Fallahzadeh, Ramin
AU - Ortiz, Josue Pagan
AU - Ghasemzadeh, Hassan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/11
Y1 - 2017/5/11
N2 - With the proliferation of wearable devices in the Internet-of-Things applications, designing highly power-efficient solutions for continuous operation of these technologies in life-critical settings emerges. We propose a novel ultra-low power framework for adaptive compressed sensing in activity recognition. The proposed design uses a coarse-grained activity recognition module to adaptively tune the compressed sensing module for minimized sensing/transmission costs. We pose an optimization problem to minimize activity-specific sensing rates and introduce a polynomial time approximation algorithm using a novel heuristic dynamic optimization tree. Our evaluations on real-world data shows that the proposed autonomous framework is capable of generating feedback with -80% confidence and improves power reduction performance of the state-of-the-art approach by a factor of two.
AB - With the proliferation of wearable devices in the Internet-of-Things applications, designing highly power-efficient solutions for continuous operation of these technologies in life-critical settings emerges. We propose a novel ultra-low power framework for adaptive compressed sensing in activity recognition. The proposed design uses a coarse-grained activity recognition module to adaptively tune the compressed sensing module for minimized sensing/transmission costs. We pose an optimization problem to minimize activity-specific sensing rates and introduce a polynomial time approximation algorithm using a novel heuristic dynamic optimization tree. Our evaluations on real-world data shows that the proposed autonomous framework is capable of generating feedback with -80% confidence and improves power reduction performance of the state-of-the-art approach by a factor of two.
UR - http://www.scopus.com/inward/record.url?scp=85020214759&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85020214759&partnerID=8YFLogxK
U2 - 10.23919/DATE.2017.7927136
DO - 10.23919/DATE.2017.7927136
M3 - Conference contribution
AN - SCOPUS:85020214759
T3 - Proceedings of the 2017 Design, Automation and Test in Europe, DATE 2017
SP - 996
EP - 1001
BT - Proceedings of the 2017 Design, Automation and Test in Europe, DATE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 March 2017 through 31 March 2017
ER -