The design of an in-line accelerometer-based inclination sensing system

Yao, Xu; Sun, Guangmin; Lin, Wen-Yen; Chou, Wen-Cheng; Lei, Kin Fong; Lee, Ming-Yih

doi:10.1109/iscas.2012.6272029

Cited by 7 publications

(12 citation statements)

References 9 publications

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“…Using the procedure outlined in [20], we approximate the discrete time system as Ȱ ൎ ‫ܫ‬ ‫ܶܨ‬ ௌ (12) where ܶ ௌ is the length of each time step and ‫ܫ‬ ‫א‬ Թ ଵൈଵ is the identity matrix. This leads to a discrete time state space model as in [21] ାଵ ൌ Ȱ ‫ݓ‬ (13) ൌ ‫ܪ‬ ‫ݒ‬ (14) where ݇ ‫א‬ ሼͳǡʹǡ ǥ ሽ is the discrete time index, ‫א‬ Թ ଵ is the state vector at the time instant ݇, ‫א‬ Թ ଷ is the measurement vector. Ȱ ‫א‬ Թ ଵൈଵ is the state transition matrix that describes the progression of states over time and is described in (12).…”

Section: Extended Kalman Filter Modelmentioning

confidence: 99%

“…The expected value of the state is derived from (13), providing the prediction stage of the EKF. It should also be noted that the state transition matrix must be updated at each time index.…”

Section: Extended Kalman Filter Modelmentioning

confidence: 99%

“…Yao et al design a real-time system for inclination sensing, which is also based on the concept that the net acceleration on the sensor over time is gravity [13]. Luinge et al suggest that the gravitational acceleration has a larger magnitude relative to many human movements [14], and use the accelerometer angle estimate in a Kalman filter to improve orientation estimates.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Motion Based Acceleration Correction for Improved Sensor Orientation Estimates

Bennett

Jafari

Gans

2014

2014 11th International Conference on Wearable and Implantable Body Sensor Networks

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Inertial measurement units (IMUs) including accelerometers and gyroscopes are becoming very common and can be found in cell phones, fitness trackers, and other wearable devices. With the growth in wearable computing and body sensor networks, IMUs are also becoming more prevalent research environments for estimation and tracking of human motion. We demonstrate that the accelerometer angle estimate is inaccurate for typical motions and present a method using a kinematic model to correct the accelerometer angle estimate and improve overall orientation estimates using an extended Kalman filter (EKF). Our method improves upon the raw accelerometer orientation estimation method and a gyroscope based EKF method for sensor orientation during motion and at rest.

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Section: Extended Kalman Filter Modelmentioning

confidence: 99%

Section: Extended Kalman Filter Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Motion Based Acceleration Correction for Improved Sensor Orientation Estimates

Bennett

Jafari

Gans

2014

2014 11th International Conference on Wearable and Implantable Body Sensor Networks

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“…Therefore, a low complexity CORDIC-based algorithm [3] was proposed previously to enable a real-time transformation of the tilting angle from the raw data of accelerometer in such system [4]. Through detailed performance analysis and improvement of the original CORDIC operations, the algorithm can reach the accuracy of 0.1 degree within 8 iterative operations of CORDIC and the execution time is 3.83 times faster than using mathematical libraries on a low power, low cost microcontroller [5].…”

Section: Introductionmentioning

confidence: 99%

Forward-flexed posture detection for the early Parkinson'S disease symptom

Lin

Lee

2014

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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With aging society coming, there are more and more elderly people having the aging-related chronic diseases, such as Parkinson's, and Alzheimer's diseases. In this study, a time-less linear transformation method is proposed to obtain tilting angles from single axis accelerometer data. By wearing the previous designed posture monitor vest and with the proposed algorithm implemented, this wearable system can detect the forward-flexed posture which is frequently seen in the early symptom of Parkinson's disease, the festination. Detection of this posture is the necessary function for the festination detection system which can work as a quantitative tool for early detection of Parkinson's disease.

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“…The algorithm is based on 2D CORDIC [10] operations and can supplants the complex multiplication, division, and square-root operations required in trigonometric functions with only basic adders and binary shifters [11] for rotation of a 2D vector through a sequence of simple elementary rotations. Therefore, it can be implemented on a low cost and low power micro-controller based embedded system to provide the tilting angle information alone in real-time [12].…”

Section: Introductionmentioning

confidence: 99%

Precision Enhancement and Performance Evaluation of a CORDIC-Based Tilting Angle Identification Algorithm for Three-Axis Accelerometers

Liao

Lin

Cheng

et al. 2013

2013 International Symposium on Biometrics and Security Technologies

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In this paper, we analyze the precision of the tilting angles transferred from a 3-axis accelerometer with the previously proposed CORDIC-based tilting angle identification algorithm. We found out two issues of the original 2D-CORDIC operations which would increase the errors of the calculated angles. Hence, we propose the solutions to further enhance the precision of tilting angles calculated in the algorithm. We also evaluate the performance of our algorithm on 5 different platforms with different processor cores ranging from low-end micro-controllers to high-end desktop CPU. The results indicate that the algorithm is extremely suitable for implementation on low cost and low power micro-controllers to perform the real-time and in-line tilting angle computations for its low computation complexity and low memory requirements. As the results, precise tilting angles can be obtained in realtime with a low cost embedded system to be applied in various applications including medical care systems.

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The design of an in-line accelerometer-based inclination sensing system

Cited by 7 publications

References 9 publications

Motion Based Acceleration Correction for Improved Sensor Orientation Estimates

Motion Based Acceleration Correction for Improved Sensor Orientation Estimates

Forward-flexed posture detection for the early Parkinson'S disease symptom

Precision Enhancement and Performance Evaluation of a CORDIC-Based Tilting Angle Identification Algorithm for Three-Axis Accelerometers

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