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Ting-Ting Tu

dblp:92/9660 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › inertial sensing
inertial measurement unit		 0.112011
EcoIMU: A compact, wireless, gyro-free inertial measurement unit based on two triaxial accelerometers · IPSN 2011
Embedded and real-time systems › wireless communication › wireless sensor networks
wireless sensor node		 0.012011
EcoIMU: A compact, wireless, gyro-free inertial measurement unit based on two triaxial accelerometers · IPSN 2011
YearPublicationVenuePosition
2011 EcoIMU: A compact, wireless, gyro-free inertial measurement unit based on two triaxial accelerometers
Yi-Lung Tsai, Ting-Ting Tu, Pai H. Chou
 IPSN2
2010 EcoIMU: A Dual Triaxial-Accelerometer Inertial Measurement Unit for Wearable Applications
abstract
This paper describes EcoIMU, a gyro-free, wearable inertial measurement unit (IMU) built with a pair of triaxial accelerometers that are spatially separated and wirelessly connected on the body. It can output the translation and rotation of the body for the purpose of motion tracking and dead reckoning applications. It mitigates error accumulation and drift problems using domain knowledge including pause identification and geometric constraints on the two nodes. Experimental results show EcoIMU to have less drift error while consuming significantly lower power than comparable IMUs built with MEMS gyroscopes and accelerometers.
Yi-Lung Tsai, Ting-Ting Tu, Hyeoungho Bae, Pai H. Chou
 BSN2