Measuring uniaxial joint angles with a minimal accelerometer configuration

Dong, Wei; Chen, I‐Ming; Lim, Kwang Yong; Goh, Y. K.

doi:10.1145/1328491.1328515

Cited by 12 publications

(4 citation statements)

References 8 publications

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“…They obtained a root mean square error (RMSE) of 6° for the knee and 2° to 4.7° for the ankle joints. Dong et al [12] used four biaxial accelerometers to measure flexion-extension angles, however the accuracy of system was dependent on the sensors being placed parallel to the sagittal plane.…”

Section: Introductionmentioning

confidence: 99%

Accelerometer based human joints' range of movement measurement

Nwaizu

Saatchi

Burke

2016

2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)

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Section: Introductionmentioning

confidence: 99%

Accelerometer based human joints' range of movement measurement

Nwaizu

Saatchi

Burke

2016

2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)

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“…However, when the motion is fast, it is difficult to determine which component of the acceleration is caused by motion, and which is caused by gravity. Dong et al (2007) proposed using two accelerometers per link segment and combined them into a virtual accelerometer at a common location in order to use the difference in the accelerometers' readings to mathematically remove the link velocity. This approach required two sensors per joint, making it cumbersome to use.…”

Section: Introductionmentioning

confidence: 99%

Human pose recovery using wireless inertial measurement units

Lin

Kulić

2012

Physiol. Meas.

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Many applications in rehabilitation and sports training require the assessment of the patient's status based on observation of their movement. Small wireless sensors, such as accelerometers and gyroscopes, can be utilized to provide a quantitative measure of the human movement for assessment. In this paper, a kinematics-based approach is developed to estimate human leg posture and velocity from wearable sensors during the performance of typical physiotherapy and training exercises. The proposed approach uses an extended Kalman filter to estimate joint angles from accelerometer and gyroscopic data and is capable of recovering joint angles from arbitrary 3D motion. Additional joint limit constraints are implemented to reduce drift, and an automated approach is developed for estimating and adapting the process noise during online estimation. The approach is validated through a user study consisting of 20 subjects performing knee and hip rehabilitation exercises. When compared to motion capture, the approach achieves an average root-mean-square error of 4.27 cm for unconstrained motion, with an average joint error of 6.5°. The average root-mean-square error is 3.31 cm for sagittal planar motion, with an average joint error of 4.3°.

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“…The Moore-Penrose pseudoinverse of P may be calculated as equation (18) provided that the rows or P are linearly independent and the matrix represents > 4 sensors.…”

Section: Pseudoinverse Methodsmentioning

confidence: 99%

“…The use of linear accelerometers to measure rotational kinematics has been a subject of research since the 1960s [15,16]. For planar motion, the inverse kinematic solution is trivial [17] and has few practical applications; for example, the motion of a human knee [18]. Most practical applications require that motion in all 6 Degrees Of Freedom (DoF) is accounted for.…”

Section: Introductionmentioning

confidence: 99%

Measuring motion with kinematically redundant accelerometer arrays: Theory, simulation and implementation

et al. 2013

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This work presents two schemes of measuring the linear and angular kinematics of a rigid body using a kinematically redundant array of triple-axis accelerometers with potential applications in biomechanics. A novel angular velocity estimation algorithm is proposed and evaluated that can compensate for angular velocity errors using measurements of the direction of gravity. Analysis and discussion of optimal sensor array characteristics are provided. A damped 2 axis pendulum was used to excite all 6 DoF of the a suspended accelerometer array through determined complex motion and is the basis of both simulation and experimental studies. The relationship between accuracy and sensor redundancy is investigated for arrays of up to 100 triple axis (300 accelerometer axes) accelerometers in simulation and 10 equivalent sensors (30 accelerometer axes) in the laboratory test rig. The paper also reports on the sensor calibration techniques and hardware implementation.

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Measuring uniaxial joint angles with a minimal accelerometer configuration

Cited by 12 publications

References 8 publications

Accelerometer based human joints' range of movement measurement

Accelerometer based human joints' range of movement measurement

Human pose recovery using wireless inertial measurement units

Measuring motion with kinematically redundant accelerometer arrays: Theory, simulation and implementation

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