The Experts below are selected from a list of 37983 Experts worldwide ranked by ideXlab platform

G M Lyons - One of the best experts on this subject based on the ideXlab platform.

  • an inertial and Magnetic Sensor based technique for joint angle measurement
    Journal of Biomechanics, 2007
    Co-Authors: Karol J Odonovan, Roman Kamnik, Derek T Okeeffe, G M Lyons
    Abstract:

    This paper describes the design and evaluation of a miniature kinematic Sensor based three dimensional (3D) joint angle measurement technique. The technique uses a combination of rate gyroscope, accelerometer and magnetometer Sensor signals. The technique enables 3D inter-segment joint angle measurement and could be of benefit in a variety of applications which require monitoring of joint angles. The technique is not dependent on a fixed reference coordinate system and thus may be suitable for use in a dynamic system such as a moving vehicle. The technique was evaluated by applying it to joint angle measurement of the ankle joint. Experimental results show that accurate measurement of ankle joint angles is achieved by the technique during a variety of lower leg exercises including walking.

  • an inertial and Magnetic Sensor based technique for joint angle measurement
    Journal of Biomechanics, 2007
    Co-Authors: Karol J Odonovan, Roman Kamnik, Derek T Okeeffe, G M Lyons
    Abstract:

    This paper describes the design and evaluation of a miniature kinematic Sensor based three dimensional (3D) joint angle measurement technique. The technique uses a combination of rate gyroscope, accelerometer and magnetometer Sensor signals. The technique enables 3D inter-segment joint angle measurement and could be of benefit in a variety of applications which require monitoring of joint angles. The technique is not dependent on a fixed reference coordinate system and thus may be suitable for use in a dynamic system such as a moving vehicle. The technique was evaluated by applying it to joint angle measurement of the ankle joint. Experimental results show that accurate measurement of ankle joint angles is achieved by the technique during a variety of lower leg exercises including walking.

Eric R. Bachmann - One of the best experts on this subject based on the ideXlab platform.

  • Design, Implementation, and Experimental Results of a Quaternion-Based Kalman Filter for Human Body Motion Tracking
    IEEE Transactions on Robotics, 2006
    Co-Authors: Xiaoping Yun, Eric R. Bachmann
    Abstract:

    Real-time tracking of human body motion is an important technology in synthetic environments, robotics, and other human-computer interaction applications. This paper presents an extended Kalman filter designed for real-time estimation of the orientation of human limb segments. The filter processes data from small inertial/Magnetic Sensor modules containing triaxial angular rate Sensors, accelerometers, and magnetometers. The filter represents rotation using quaternions rather than Euler angles or axis/angle pairs. Preprocessing of the acceleration and magnetometer measurements using the Quest algorithm produces a computed quaternion input for the filter. This preprocessing reduces the dimension of the state vector and makes the measurement equations linear. Real-time implementation and testing results of the quaternion-based Kalman filter are presented. Experimental results validate the filter design, and show the feasibility of using inertial/Magnetic Sensor modules for real-time human body motion tracking

Mehran Roshandel - One of the best experts on this subject based on the ideXlab platform.

  • MagiTact: Interaction with Mobile Devices Based on Compass (Magnetic) Sensor
    Proceedings of the 15th international conference on Intelligent user interfaces - IUI '10, 2010
    Co-Authors: Hamed Ketabdar, Kamer Ali Yuksel, Mehran Roshandel
    Abstract:

    In this work, we present a new technique for efficient use of 3D space around a mobile device for interaction with the device. Around Device Interaction (ADI) enables extending interaction space of small mobile and tangible devices beyond their physical boundary. Our proposed method is based on using compass (Magnetic field) Sensor integrated in mobile devices (e.g. iPhone 3GS, G1 Android). In this method, a properly shaped permanent magnet (e.g. in the shape of a rod, pen or a ring) is used for interaction. The user makes coarse gestures in the 3D space around the device using the magnet. Movement of the magnet affects the Magnetic field sensed by the compass Sensor integrated in the device. The temporal pattern of the gesture is then used as a basis for sending different interaction commands to the mobile device. Zooming, turning pages, accepting/rejecting calls, clicking items, controlling a music player, and game interaction are some example use cases. The proposed method does not impose changes in hardware specifications of the mobile device, and unlike optical methods is not limited by occlusion problems.

Zhi-qiang Zhang - One of the best experts on this subject based on the ideXlab platform.

  • fusion of inertial Magnetic Sensor measurements and map information for pedestrian tracking
    Sensors, 2017
    Co-Authors: Shudi Bao, Xiao-li Meng, Wendong Xiao, Zhi-qiang Zhang
    Abstract:

    The wearable inertial/Magnetic Sensor based human motion analysis plays an important role in many biomedical applications, such as physical therapy, gait analysis and rehabilitation. One of the main challenges for the lower body bio-motion analysis is how to reliably provide position estimations of human subject during walking. In this paper, we propose a particle filter based human position estimation method using a foot-mounted inertial and Magnetic Sensor module, which not only uses the traditional zero velocity update (ZUPT), but also applies map information to further correct the acceleration double integration drift and thus improve estimation accuracy. In the proposed method, a simple stance phase detector is designed to identify the stance phase of a gait cycle based on gyroscope measurements. For the non-stance phase during a gait cycle, an acceleration control variable derived from ZUPT information is introduced in the process model, while vector map information is taken as binary pseudo-measurements to further enhance position estimation accuracy and reduce uncertainty of walking trajectories. A particle filter is then designed to fuse ZUPT information and binary pseudo-measurements together. The proposed human position estimation method has been evaluated with closed-loop walking experiments in indoor and outdoor environments. Results of comparison study have illustrated the effectiveness of the proposed method for application scenarios with useful map information.

  • use of an inertial Magnetic Sensor module for pedestrian tracking during normal walking
    IEEE Transactions on Instrumentation and Measurement, 2015
    Co-Authors: Zhi-qiang Zhang, Xiao-li Meng
    Abstract:

    The ability to track pedestrians without any infrastructure support is required by numerous applications in the healthcare, augmented reality, and entertainment industries. In this paper, we present a simple self-contained pedestrian tracking method using a foot-mounted inertial and Magnetic Sensor module. Traditional methods normally incorporate double integration of the measured acceleration, but such methods are susceptible to the acceleration noise and integration drift. To avoid this issue, alternative approaches which make use of walking dynamics to aggregate individual stride have been explored. The key for stride aggregating is to accurately and reliably detect stride boundary and estimate the associated heading direction for each stride, but it is still not well solved yet due to Sensor noise and external disturbance. In this paper, we propose to make use of the inertial Sensor and magnetometer measurements for stride detection and heading direction determination. In our method, a simple and reliable stride detection method, which is resilient to random bouncing motions and Sensor noise, is designed based on gyroscope and accelerometer measurements. Heading direction is then determined from the foot’s orientation which fuses all the three types of Sensor information together. The proposed pedestrian tracking method has been evaluated using experiments, including both short distance walking with different patterns and long distance walking performed indoors and outdoors. The good experimental results have illustrated the effectiveness of the proposed pedestrian tracking method.

  • Quaternion-based kalman filter with vector selection for accurate orientation tracking
    IEEE Transactions on Instrumentation and Measurement, 2012
    Co-Authors: Zhi-qiang Zhang, Xiao-li Meng, Jian-kang Wu
    Abstract:

    Human body orientation estimation from microinertial/Magnetic Sensor units is highly important for synthetic environments, robotics, and other human-computer interaction applications. In practice, the main challenge is how to deal with linear acceleration interference and Magnetic disturbance which always cause significant attitude-estimation errors. In this paper, we present a novel quaternion-based Kalman filter with vector selection scheme for accurate human body orientation estimation using an inertial/Magnetic Sensor unit. In the proposed algorithm, the gyroscope measurement is used as an input to construct the linear process equation, and the accelerometer and magnetometer measurements are manipulated to establish the linear pseudomeasurement equation. A linear Kalman filter is then deployed to estimate the body orientation. In the Kalman filter framework, a vector selection scheme is designed to protect the algorithm against undesirable conditions such as temporary intensive movement and Magnetic disturbance and enable it to acquire more accurate orientation estimation. The experimental results have shown that the proposed algorithm can provide accurate attitude estimations with regard to the ground truth.

Keekeun Lee - One of the best experts on this subject based on the ideXlab platform.

  • Development of chipless, wireless current Sensor system based on giant magnetoimpedance Magnetic Sensor and surface acoustic wave transponder
    Scientific Reports, 2018
    Co-Authors: Vijay V. Kondalkar, Ikmo Park, Sang Sik Yang, Keekeun Lee
    Abstract:

    A chipless, wireless current Sensor system was developed using a giant magnetoimpedance (GMI) Magnetic Sensor and one-port surface acoustic wave (SAW) reflective delay line for real-time power monitoring in a current-carrying conductor. The GMI Sensor has a high-quality crystalline structure in each layer, which contributes to a high sensitivity and good linearity in a Magnetic field of 3–16 Oe. A 400 MHz RF energy generated from the interdigital transducer (IDT)-type reflector on the one-port SAW delay line was used as an activation source for the GMI Magnetic Sensor. The one-port SAW delay line replaces the presently existing transceiver system, which is composed of thousands of transistors, thus enabling chipless and wireless operation. We confirmed a large variation in the amplitude of the SAW reflection peak with a change in the impedance of the GMI Sensor caused by the current flow through the conductor. Good linearity and sensitivity of ~0.691 dB/A were observed for currents in the range 1–12 A. Coupling of Mode (COM) modeling and impedance matching analysis were also performed to predict the device performance in advance and these were compared with the experimental results.