EcoIMU: A Dual Triaxial-Accelerometer Inertial Measurement Unit for Wearable Applications

Tsai, Yi-Lung; Tu, Ting-Ting; Bae, Hyeoungho; Chou, Pai H.

doi:10.1109/bsn.2010.47

Cited by 15 publications

(8 citation statements)

References 6 publications

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“…Another publication, by Tsai, et al, presents something similar, a non-gyro method intended for motion tracking of wearable objects [29]. They give a fairly detailed description of how they model the related nature of redundant IMUs.…”

Section: Literature Reviewmentioning

confidence: 99%

Design and Evaluation of Novel Attitude Estimation System Using MEMS Sensors for Indoor UAS

Milam¹

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Most small unmanned aerial systems in use today, employ extended Kalman filter sensor fusion algorithms in order to provide accurate estimations of attitude or orientation. These complex algorithms use measurements from GPS receivers and magnetometer sensors that can be rendered useless in GPS denied environments or areas of significant magnetic interference, such as inside buildings or other structures. The complexity of these algorithms makes them inaccessible for some researchers and hobbyists who wish to code their own attitude estimation algorithms. This complexity is also computationally expensive and requires processors that are powerful enough to operate the algorithms along with any command and control functions required by the application. In contrast, there are simple sensor fusion algorithms such as the complementary filter or linear Kalman filter, that are commonly used by hobbyists because they are relatively easy to implement and computationally lightweight. However, these methods are not as accurate as the extended Kalman filter and therefore, are not adequate for some of the emerging precision applications in aerial robotics. The goal of this research is to investigate an attitude estimation algorithm that uses two separate inertial measurement units (IMUs), each consisting of tri-axis accelerometers and tri-axis gyroscopes. This dual or twin IMU (TIMU) algorithm is compared to several common algorithms that only use one IMU, such as the complementary filter and linear Kalman filter. Analysis of a one degree of freedom experiment shows that the TIMU algorithm provides a more accurate attitude estimate. The analysis also shows that distance between the IMU and the rotating body's center of gravity can have an inverse effect on attitude accuracy. The ability of the algorithms to provide an accurate estimate of the rate of attitude change is used as a performance metric, in addition to the accuracy of attitude estimates. The complexity of the twin IMU algorithm is kept to a minimum. It is presented in a way that can be easily programed by the layman and has a small computational footprint.

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Section: Literature Reviewmentioning

confidence: 99%

Design and Evaluation of Novel Attitude Estimation System Using MEMS Sensors for Indoor UAS

Milam¹

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“…The incorporation of two accelerometers, at a distance of 30 mm, provides a low power alternative to a gyroscope. Indeed, differential measurements from multiple accelerometers can be used to derive the angular acceleration [25] [29]. The accelerometers are powered by the SoC through its GPIO (General Purpose Input Output) pins and hence is able to power them on and off individually.…”

Section: System Designmentioning

confidence: 99%

Designing Wearable Sensing Platforms for Healthcare in a Residential Environment

Fafoutis¹,

Vafeas²,

Janko

et al. 2017

EAI Endorsed Trans Perv Health Tech

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Wearable technologies are valuable tools that can encourage people to monitor their own well-being and facilitate timely health interventions. In this paper, we present SPW-2; a low-profile versatile wearable sensor that employs two ultra low power accelerometers and an optional gyroscope. Designed for minimum maintenance and a long-term operation outside the laboratory, SPW-2 is able to offer a battery lifetime of multiple months. Measurements on its wireless performance in a real residential environment with thick brick walls, demonstrate that SPW-2 can fully cover a room and -in most cases -the adjacent room, as well.

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“…Generally, accelerometers work together with gyroscopes and magnetometers to achieve a more accurate measure, but it's not absolute. In Reference [46], a kind of inertial measurement unit (IMU) called EcoIMU which only utilizes accelerometers is presented, which can accurately measure linear acceleration and angular velocity. It is built from a pair of triaxial accelerometers, expanding the application scope of accelerometers from relative motion tracking to absolute motion tracking.…”

Section: Sensorsmentioning

confidence: 99%

A Survey of Body Sensor Networks

Lai

Quanli

Wei

et al. 2013

Sensors

204

126

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Abstract:The technology of sensor, pervasive computing, and intelligent information processing is widely used in Body Sensor Networks (BSNs), which are a branch of wireless sensor networks (WSNs). BSNs are playing an increasingly important role in the fields of medical treatment, social welfare and sports, and are changing the way humans use computers. Existing surveys have placed emphasis on the concept and architecture of BSNs, signal acquisition, context-aware sensing, and system technology, while this paper will focus on sensor, data fusion, and network communication. And we will introduce the research status of BSNs, the analysis of hotspots, and future development trends, the discussion of major challenges and technical problems facing currently. The typical research projects and practical application of BSNs are introduced as well. BSNs are progressing along the direction of multi-technology integration and intelligence. Although there are still many problems, the future of BSNs is fundamentally promising, profoundly changing the human-machine relationships and improving the quality of people's lives.

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EcoIMU: A Dual Triaxial-Accelerometer Inertial Measurement Unit for Wearable Applications

Cited by 15 publications

References 6 publications

Design and Evaluation of Novel Attitude Estimation System Using MEMS Sensors for Indoor UAS

Design and Evaluation of Novel Attitude Estimation System Using MEMS Sensors for Indoor UAS

Designing Wearable Sensing Platforms for Healthcare in a Residential Environment

A Survey of Body Sensor Networks

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