EcoTrack is a multi-functional system that performs gesture recognition and motion tracking procedures
based on EcoIMU, which is a brand-new gyro-free inertial measurement unit (IMU) built
with a pair of triaxial accelerometers that can be spatially separated and wirelessly connected on a
handheld unit or on the human body. It can output the translation and rotation data of the system
from time to time for the purpose of motion tracking and dead reckoning applications. It can also
recognize the gestures made by a user. It reduces error accumulation and drift problems by using tilt
information, zero velocity compensation, and geometric constraints on the two nodes. We demonstrate
the usability of this system by a series of applications including handwriting recognition and
motion tracking on both a handheld unit and the human bodies. The experimental results show Eco-
Track to have less drift error on tracking and high recognition rate with low latency while consuming
significantly lower power than traditional IMUs built with gyroscopes and accelerometers.

EcoTrack 是一基於雙三軸加速規慣性測量儀之動作辨識與軌跡追縱的多功能軟體。除了能夠計算待測物體的運動軌跡，也可快速地辨識出使用者的動作。同時藉由計算傾斜角度與靜止狀態偵測的補償，明顯地降低了誤差累積與偏移的問題。我們透過一連串的應用，包括了手寫辨識與軌跡追縱，並且應用在身體感測網路上，來展示系統的可用性。實驗結果顯示 EcoTrack 具有低偏移誤差以及高辨識度的特性；相較於傳統的慣性測量，也消耗了更低的能量。

[1] BANG, W., CHANG, W., KANG, K., CHOI, E., POTANIN, A., AND KIM, D. Self-contained
Spatial Input Device for Wearable Computers. In Proceedings of the 7th IEEE International
Symposium on Wearable Computers (2003), IEEE Computer Society, p. 26.
[2] CHEN, J., LEE, S., AND DEBRA, D. Gyroscope free strapdown inertial measurement unit by
six linear accelerometers. Journal of Guidance, Control, and Dynamics 17, 2 (1994), 286–290.
[3] CHEN, T., AND PARK, S. MEMS SoC: observer-based coplanar gyro-free inertial measurement
unit. Journal of Micromechanics and Microengineering 15 (2005), 1664.
[4] CHO, S., OH, J., BANG, W., CHANG, W., CHOI, E., JING, Y., CHO, J., AND KIM, D.
Magic wand: a hand-drawn gesture input device in 3-D space with inertial sensors. In Frontiers
in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on (2004),
pp. 106–111.
[5] DISSANAYAKE, G., SUKKARIEH, S., NEBOT, E., AND DURRANT-WHYTE, H. The aiding of
a low-cost strapdown inertial measurement unit using vehicle model constraints for land vehicle
applications. IEEE Transactions on Robotics and Automation 17, 5 (2001), 731–747.
[6] GANERIWAL, S., KUMAR, R., AND SRIVASTAVA, M. Timing-sync protocol for sensor networks.
In Proceedings of the 1st international conference on Embedded networked sensor systems
(2003), ACM, p. 149.
[7] KEIR, P., PAYNE, J., ELGOYHEN, J., HORNER, M., NAEF, M., AND ANDERSON, P. Gesturerecognition
with non-referenced tracking. The Computer Journal (2006).
[8] PARK, C., AND CHOU, P. H. Eco: Ultra-wearable and expandable wireless sensor platform. In
Proc. Third International Workshop on Body Sensor Networks (April 2006), pp. 162–165.
[9] PARK, S., TAN, C., AND PARK, J. A scheme for improving the performance of a gyroscopefree
inertial measurement unit. Sensors and Actuators A: Physical 121, 2 (2005), 410–420.
[10] TAN, C., PARK, S., MOSTOV, K., AND VARAIYA, P. Design of gyroscope-free navigation
systems. 2001 IEEE Intelligent Transportation Systems, 2001. Proceedings (2001), 286–291.
[11] YANG, J., CHOI, E., CHANG, W., BANG, W., CHO, S., OH, J., CHO, J., AND KIM, D. A
novel hand gesture input device based on inertial sensing technique. In Industrial Electronics
Society, 2004. IECON 2004. 30th Annual Conference of IEEE (2004), vol. 3.