Novel approach to ambulatory assessment of human segmental orientation on a wearable sensor system

Liu, Kun; Liu, Tao; Shibata, Kyoko; Inoue, Yoshio; Zheng, Rencheng

doi:10.1016/j.jbiomech.2009.08.008

Cited by 85 publications

(55 citation statements)

References 18 publications

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“…We have recently presented a double tri-axial accelerometers based approach to measure the lower limb orientation angles [5]. In the paper, only accelerometers were used to estimate the angles for lower limb orientation in 3D space.…”

Section: Methodsmentioning

confidence: 99%

Research on Non-Invasive Wireless Wearable Sensor System Using Virtual and Physical Sensors for Lower Limb Motion Analysis

Liu¹,

Zhao²,

Han³

2015

Proceedings of the 2015 International Symposium on Computers &Amp; Informatics

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Abstract.Ambulatory assessment of gait posture is a promising clinical tool to diagnose walking disabilities. This paper presents a method using non-invasive wireless wearable sensor system based on virtual and physical sensors to estimate the motion of lower limb. The data measured by accelerometers and magnetometers was used to calculate the joint motion data as measured by a virtual sensor inside the joint. There is no integration of acceleration or angular velocity for the joint positions and rotations, which is an improvement on the previous methods. There are no physical sensors implanted in the knee joint based on the virtual-sensor difference based algorithm, therefore it is feasible to analyze knee joint kinematics with less numbers and types of sensors noninvasively. Finally wireless transceiver modules are integrated with the sensors and microprocessor composing a wearable sensor system to achieve real time analysis for the lower limb motion.

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Section: Methodsmentioning

confidence: 99%

Research on Non-Invasive Wireless Wearable Sensor System Using Virtual and Physical Sensors for Lower Limb Motion Analysis

Liu¹,

Zhao²,

Han³

2015

Proceedings of the 2015 International Symposium on Computers &Amp; Informatics

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“…In order to develop the mentioned algorithm, we base our formulation onto the same assumption as [26] and consider the hip joint as ball joint which permits Femur rotation in all directions. However, during walking, the major Femur rotations only take place in the sagittal (around S) and transverse plane (around V).…”

Section: B Calculating the Dynamic Model Of Device Acceleration Durimentioning

confidence: 99%

uDirect: A novel approach for pervasive observation of user direction with mobile phones

Hoseinitabatabaei

Gluhak

Tafazolli

2011

2011 IEEE International Conference on Pervasive Computing and Communications (PerCom)

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Abstract-In this paper we present the uDirect algorithm as a novel approach for mobile phone centric observation of a user's facing direction, through which the device and user orientations relative to earth coordinate are estimated. While the device orientation estimation is based on accelerometer and magnetometer measurements in standing mode, the unique behavior of measured acceleration during stance phase of a human's walking cycle is used for detecting user direction. Furthermore, the algorithm is independent of initial orientation of the device which gives the user higher space of freedom for long term observations. As the algorithm only relies on embedded accelerometer and magnetometer sensors of the mobile phone, it is not susceptible to shadowing effect as GPS. In addition, by performing independent estimations during each step of walking the model is robust to error accumulation. Evaluating the algorithm with 180 data samples from 10 participates has empirically confirmed the assumptions of our analytical model about the unique characteristics of the human stance phase for direction estimation. Moreover, our initial inspection has shown a system based on our algorithm outperforms conventional use of GPS and PCA analysis based techniques for walking distances more than 2 steps.

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“…The force plate, which is the widely used in measuring GRF with high accuracy in various fields, is limited in single stride measurement (Moustakidis et al, 2008). In this situation, wearable sensor systems based on miniature type force sensors, acceleration sensitive units and gyroscopes play more important role in the applicability for continuously walking and climbing stairs or slopes (Liu et al, 2009), (Boonstra et al, 2006). For construction of musculoskeletal dynamic model, the AnyBody Modeling System, which works in a minimum fatigue criterion way, could be introduced in various applications of variable situation.…”

Section: Introductionmentioning

confidence: 99%

Muscle Force Analysis of Human Foot Based on Wearable Sensors and EMG Method

Cao¹,

Inoue²,

Liu³

et al. 2012

EMG Methods for Evaluating Muscle and Nerve Function

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Novel approach to ambulatory assessment of human segmental orientation on a wearable sensor system

Cited by 85 publications

References 18 publications

Research on Non-Invasive Wireless Wearable Sensor System Using Virtual and Physical Sensors for Lower Limb Motion Analysis

Research on Non-Invasive Wireless Wearable Sensor System Using Virtual and Physical Sensors for Lower Limb Motion Analysis

uDirect: A novel approach for pervasive observation of user direction with mobile phones

Muscle Force Analysis of Human Foot Based on Wearable Sensors and EMG Method

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