Zobrazeno 1 - 10
of 207
pro vyhledávání: '"Young Soo Suh"'
Publikováno v:
IEEE Access, Vol 12, Pp 133557-133568 (2024)
Accurate estimation of dual walking trajectories remains a challenge in human gait tracking systems due to limitations in sensor precision and data integration methods. To address these issues, this paper presents a novel human gait tracking system t
Externí odkaz:
https://doaj.org/article/6d961f5476fe495782be7e6e4d8b5271
Autor:
Young Soo Suh
Publikováno v:
IEEE Access, Vol 11, Pp 118652-118659 (2023)
This paper presents a modified Kalman filter for estimating quaternion using inertial and magnetic sensors. When the initial estimation error is large, the convergence rate of the multiplicative extended Kalman filter tends to be slow due to the assu
Externí odkaz:
https://doaj.org/article/eba6deec560840e2b6ad4de1db5e9211
Autor:
Huu Toan Duong, Young Soo Suh
Publikováno v:
IEEE Access, Vol 9, Pp 56881-56892 (2021)
This paper proposes a human gait estimation algorithm using a multiple 360 degree 2D LiDARs system. The system is fixed on the ground at the shin height to scan human legs during gait. The multiple LiDARs system is to overcome the drawbacks of a sing
Externí odkaz:
https://doaj.org/article/5a8ba94596474dcaba6c921608b28f32
Autor:
Thanh Tuan Pham, Young Soo Suh
Publikováno v:
IEEE Access, Vol 9, Pp 85476-85487 (2021)
This paper presents a new constrained optimization-based smoothing algorithm for walking step length estimation using waist-mounted inertial sensors, where the total walking distance is known. The walking trajectory is estimated by double integrating
Externí odkaz:
https://doaj.org/article/ac533b5f045a435c8ab140138c865ad1
Autor:
Huu Toan Duong, Young Soo Suh
Publikováno v:
Sensors, Vol 22, Iss 17, p 6368 (2022)
This paper proposes a human gait tracking system using a dual foot-mounted IMU and multiple 2D LiDARs. The combining system aims to overcome the disadvantages of each single sensor system (the short tracking range of the single 2D LiDAR and the drift
Externí odkaz:
https://doaj.org/article/34188fd990254aedaf55abc97665d3af
Autor:
Duc Cong Dang, Young Soo Suh
Publikováno v:
Sensors, Vol 21, Iss 10, p 3428 (2021)
This paper presents a Kalman filter-based attitude estimation algorithm using a single body-mounted inertial sensor consisting of a triaxial accelerometer and triaxial gyroscope. The proposed algorithm has been developed for attitude estimation durin
Externí odkaz:
https://doaj.org/article/9b729b83b22f400497c2fdf38f0f4797
Autor:
Pham Duy Duong, Young Soo Suh
Publikováno v:
Sensors, Vol 15, Iss 7, Pp 15888-15902 (2015)
There are many inertial sensor-based foot pose estimation algorithms. In this paper, we present a methodology to improve the accuracy of foot pose estimation using two low-cost distance sensors (VL6180) in addition to an inertial sensor unit. The dis
Externí odkaz:
https://doaj.org/article/8c3cfa4d874f44ee93fb68b5123334aa
Autor:
Young Soo Suh
Publikováno v:
Sensors, Vol 14, Iss 12, Pp 24338-24357 (2014)
An off-line smoother algorithm is proposed to estimate foot motion using an inertial sensor unit (three-axis gyroscopes and accelerometers) attached to a shoe. The smoother gives more accurate foot motion estimation than filter-based algorithms by us
Externí odkaz:
https://doaj.org/article/6b477a59181440e5b6fec2907eaed072
Publikováno v:
Sensors, Vol 14, Iss 8, Pp 14375-14398 (2014)
Location-dependent differences of ambient magnetic fields inside a building can be used to estimate location. In this paper, an inertial/magnetic sensor is attached to a belt position and its location is estimated using the ambient magnetic field. Th
Externí odkaz:
https://doaj.org/article/f5c534331df04aca847f82f5fe45a7b4
Autor:
Quoc Khanh Dang, Young Soo Suh
Publikováno v:
Sensors, Vol 14, Iss 5, Pp 8167-8188 (2014)
In this paper, a smoothing algorithm for compensating inertial sensor saturation is proposed. The sensor saturation happens when a sensor measures a value that is larger than its dynamic range. This can lead to a considerable accumulated error. To co
Externí odkaz:
https://doaj.org/article/2d7af799a65645928b2819300b030d26