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https://www.readbyqxmd.com/read/28629165/a-cost-effective-vehicle-localization-solution-using-an-interacting-multiple-model-unscented-kalman-filters-imm-ukf-algorithm-and-grey-neural-network
#1
Qimin Xu, Xu Li, Ching-Yao Chan
In this paper, we propose a cost-effective localization solution for land vehicles, which can simultaneously adapt to the uncertain noise of inertial sensors and bridge Global Positioning System (GPS) outages. First, three Unscented Kalman filters (UKFs) with different noise covariances are introduced into the framework of Interacting Multiple Model (IMM) algorithm to form the proposed IMM-based UKF, termed as IMM-UKF. The IMM algorithm can provide a soft switching among the three UKFs and therefore adapt to different noise characteristics...
June 18, 2017: Sensors
https://www.readbyqxmd.com/read/28628594/telehealth-wearable-sensors-and-the-internet-will-they-improve-stroke-outcomes-through-increased-intensity-of-therapy-motivation-and-adherence-to-rehabilitation-programs
#2
Jane H Burridge, Alan Chong W Lee, Ruth Turk, Maria Stokes, Jill Whitall, Ravi Vaidyanathan, Phil Clatworthy, Ann-Marie Hughes, Claire Meagher, Enrico Franco, Lucy Yardley
BACKGROUND AND PURPOSE: Stroke, predominantly a condition of older age, is a major cause of acquired disability in the global population and puts an increasing burden on health care resources. Clear evidence for the importance of intensity of therapy in optimizing functional outcomes is found in animal models, supported by neuroimaging and behavioral research, and strengthened by recent meta-analyses from multiple clinical trials. However, providing intensive therapy using conventional treatment paradigms is expensive and sometimes not feasible because of social and environmental factors...
July 2017: Journal of Neurologic Physical Therapy: JNPT
https://www.readbyqxmd.com/read/28627862/feasibility-and-efficacy-of-wearable-devices-for-upper-limb-rehabilitation-in-patients-with-chronic-stroke-a-randomized-controlled-pilot-study
#3
Li-Fong Lin, Yi-Jia Lin, Zi-Hao Lin, Li-Yun Chuang, Wei-Chun Hsu, Yuan-Hsiang Lin
BACKGROUND: Wearable devices based on inertial measurement units through wireless sensor networks have many applications such as real-time motion monitoring and functional outcome assessment of stroke rehabilitation. However, additional investigations are warranted to validate their clinical value, particularly in detecting the synergy patterns of movements after stroke. AIM: To explore the feasibility and efficacy of wearable devices for upper limb rehabilitation in patients with chronic stroke and to compare the intervention effects (e...
June 19, 2017: European Journal of Physical and Rehabilitation Medicine
https://www.readbyqxmd.com/read/28621709/an-unobtrusive-fall-detection-and-alerting-system-based-on-kalman-filter-and-bayes-network-classifier
#4
Jian He, Shuang Bai, Xiaoyi Wang
Falls are one of the main health risks among the elderly. A fall detection system based on inertial sensors can automatically detect fall event and alert a caregiver for immediate assistance, so as to reduce injuries causing by falls. Nevertheless, most inertial sensor-based fall detection technologies have focused on the accuracy of detection while neglecting quantization noise caused by inertial sensor. In this paper, an activity model based on tri-axial acceleration and gyroscope is proposed, and the difference between activities of daily living (ADLs) and falls is analyzed...
June 16, 2017: Sensors
https://www.readbyqxmd.com/read/28611621/whole-body-awareness-for-controlling-a-robotic-transfemoral-prosthesis
#5
Andrea Parri, Elena Martini, Joost Geeroms, Louis Flynn, Guido Pasquini, Simona Crea, Raffaele Molino Lova, Dirk Lefeber, Roman Kamnik, Marko Munih, Nicola Vitiello
Restoring locomotion functionality of transfemoral amputees is essential for early rehabilitation treatment and for preserving mobility and independence in daily life. Research in wearable robotics fostered the development of innovative active mechatronic lower-limb prostheses designed with the goal to reduce the cognitive and physical effort of lower-limb amputees in rehabilitation and daily life activities. To ensure benefits to the users, active mechatronic prostheses are expected to be aware of the user intention and properly interact in a closed human-in-the-loop paradigm...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28590422/wearable-sensor-data-classification-for-human-activity-recognition-based-on-an-iterative-learning-framework
#6
Juan Carlos Davila, Ana-Maria Cretu, Marek Zaremba
The design of multiple human activity recognition applications in areas such as healthcare, sports and safety relies on wearable sensor technologies. However, when making decisions based on the data acquired by such sensors in practical situations, several factors related to sensor data alignment, data losses, and noise, among other experimental constraints, deteriorate data quality and model accuracy. To tackle these issues, this paper presents a data-driven iterative learning framework to classify human locomotion activities such as walk, stand, lie, and sit, extracted from the Opportunity dataset...
June 7, 2017: Sensors
https://www.readbyqxmd.com/read/28587178/survey-of-motion-tracking-methods-based-on-inertial-sensors-a-focus-on-upper-limb-human-motion
#7
REVIEW
Alessandro Filippeschi, Norbert Schmitz, Markus Miezal, Gabriele Bleser, Emanuele Ruffaldi, Didier Stricker
Motion tracking based on commercial inertial measurements units (IMUs) has been widely studied in the latter years as it is a cost-effective enabling technology for those applications in which motion tracking based on optical technologies is unsuitable. This measurement method has a high impact in human performance assessment and human-robot interaction. IMU motion tracking systems are indeed self-contained and wearable, allowing for long-lasting tracking of the user motion in situated environments. After a survey on IMU-based human tracking, five techniques for motion reconstruction were selected and compared to reconstruct a human arm motion...
June 1, 2017: Sensors
https://www.readbyqxmd.com/read/28587115/complete-tri-axis-magnetometer-calibration-with-a-gyro-auxiliary
#8
Deng Yang, Zheng You, Bin Li, Wenrui Duan, Binwen Yuan
Magnetometers combined with inertial sensors are widely used for orientation estimation, and calibrations are necessary to achieve high accuracy. This paper presents a complete tri-axis magnetometer calibration algorithm with a gyro auxiliary. The magnetic distortions and sensor errors, including the misalignment error between the magnetometer and assembled platform, are compensated after calibration. With the gyro auxiliary, the magnetometer linear interpolation outputs are calculated, and the error parameters are evaluated under linear operations of magnetometer interpolation outputs...
May 26, 2017: Sensors
https://www.readbyqxmd.com/read/28578138/static-and-dynamic-validation-of-inertial-measurement-units
#9
Leah Taylor, Emily Miller, Kenton R Kaufman
Optical motion capture systems are used to assess human motion. While these systems provide a reliable analysis, they limit collection to a laboratory based setting. Devices such as Inertial Measurement Units (IMUs) have been developed as alternative tools. Commercially available IMUs are utilized for a variety of applications; however limited work has been done to determine the reliability of these devices. The objective of this study was to assess the accuracy and precision of a commercially available IMU, containing tri-axial accelerometers, gyroscopes, and magnetometers, under controlled static and dynamic conditions...
May 26, 2017: Gait & Posture
https://www.readbyqxmd.com/read/28574474/a-lidar-and-imu-integrated-indoor-navigation-system-for-uavs-and-its-application-in-real-time-pipeline-classification
#10
G Ajay Kumar, Ashok Kumar Patil, Rekha Patil, Seong Sill Park, Young Ho Chai
Mapping the environment of a vehicle and localizing a vehicle within that unknown environment are complex issues. Although many approaches based on various types of sensory inputs and computational concepts have been successfully utilized for ground robot localization, there is difficulty in localizing an unmanned aerial vehicle (UAV) due to variation in altitude and motion dynamics. This paper proposes a robust and efficient indoor mapping and localization solution for a UAV integrated with low-cost Light Detection and Ranging (LiDAR) and Inertial Measurement Unit (IMU) sensors...
June 2, 2017: Sensors
https://www.readbyqxmd.com/read/28574471/a-map-ins-wi-fi-integrated-system-for-indoor-location-based-service-applications
#11
Chunyang Yu, Haiyu Lan, Fuqiang Gu, Fei Yu, Naser El-Sheimy
In this research, a new Map/INS/Wi-Fi integrated system for indoor location-based service (LBS) applications based on a cascaded Particle/Kalman filter framework structure is proposed. Two-dimension indoor map information, together with measurements from an inertial measurement unit (IMU) and Received Signal Strength Indicator (RSSI) value, are integrated for estimating positioning information. The main challenge of this research is how to make effective use of various measurements that complement each other in order to obtain an accurate, continuous, and low-cost position solution without increasing the computational burden of the system...
June 2, 2017: Sensors
https://www.readbyqxmd.com/read/28573938/long-term-gait-pattern-assessment-using-a-tri-axial-accelerometer
#12
Francesca De Cillis, Francesca De Simio, Roberto Setola
In this article, we present a pervasive solution for gait pattern classification that uses accelerometer data retrieved from a waist-mounted inertial sensor. The proposed algorithm has been conceived to operate continuously for long-term applications. With respect to traditional approaches that use a large number of features and sophisticated classifiers, our solution is able to assess four different gait patterns (standing, level walking, stair ascending and descending) by using three features and a decision tree...
July 2017: Journal of Medical Engineering & Technology
https://www.readbyqxmd.com/read/28572784/inertial-sensors-to-assess-gait-quality-in-patients-with-neurological-disorders-a-systematic-review-of-technical-and-analytical-challenges
#13
REVIEW
Aliénor Vienne, Rémi P Barrois, Stéphane Buffat, Damien Ricard, Pierre-Paul Vidal
Gait disorders are major causes of falls in patients with neurological diseases. Understanding these disorders allows prevention and better insights into underlying diseases. InertiaLocoGraphy (ILG) -the quantification of gait by using inertial measurement units (IMUs) -shows great potential to address this public health challenge, but protocols vary widely and normative values of gait parameters are still unavailable. This systematic review critically compares ILG protocols, questions features extracted from inertial signals and proposes a semeiological analysis of clinimetric characteristics for use in neurological clinical routine...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28559103/comparison-of-quantitative-evaluation-between-cutaneous-and-transosseous-inertial-sensors-in-anterior-cruciate-ligament-deficient-knee-a-cadaveric-study
#14
Atsunori Murase, Masahiro Nozaki, Masaaki Kobayashi, Hideyuki Goto, Masahito Yoshida, Sanshiro Yasuma, Tetsuya Takenaga, Yuko Nagaya, Jun Mizutani, Hideki Okamoto, Hirotaka Iguchi, Takanobu Otsuka
BACKGROUND: Recently several authors have reported on the quantitative evaluation of the pivot-shift test using cutaneous fixation of inertial sensors. Before utilizing this sensor for clinical studies, it is necessary to evaluate the accuracy of cutaneous sensor in assessing rotational knee instability. To evaluate the accuracy of inertial sensors, we compared cutaneous and transosseous sensors in the quantitative assessment of rotational knee instability in a cadaveric setting, in order to demonstrate their clinical applicability...
May 27, 2017: Journal of Orthopaedic Science: Official Journal of the Japanese Orthopaedic Association
https://www.readbyqxmd.com/read/28548349/head-withers-and-pelvic-movement-asymmetry-and-their-relative-timing-in-trot-in-racing-thoroughbreds-in-training
#15
T Pfau, K Noordwijk, M F Sepulveda Caviedes, E Persson-Sjodin, A Barstow, B Forbes, M Rhodin
BACKGROUND: Horses show compensatory head movement in hindlimb lameness and compensatory pelvis movement in forelimb lameness but little is known about the relationship of withers movement symmetry with head and pelvic asymmetry in horses with naturally occurring gait asymmetries. Objectives To document head, withers and pelvic movement asymmetry and timing differences in horses with naturally occurring gait asymmetries. STUDY DESIGN: Retrospective analysis of gait data...
May 26, 2017: Equine Veterinary Journal
https://www.readbyqxmd.com/read/28540448/sensor-based-balance-measures-outperform-modified-balance-error-scoring-system-in-identifying-acute-concussion
#16
Laurie A King, Martina Mancini, Peter C Fino, James Chesnutt, Clayton W Swanson, Sheila Markwardt, Julie C Chapman
Balance assessment is an integral component of concussion evaluation and management. Although the modified balance error scoring system (mBESS) is the conventional clinical tool, objective metrics derived from wearable inertial sensors during the mBESS may increase sensitivity in detecting subtle balance deficits post-concussion. The aim of this study was to identify which stance condition and postural sway metrics obtained from an inertial sensor placed on the lumbar spine during the mBESS best discriminate athletes with acute concussion...
May 24, 2017: Annals of Biomedical Engineering
https://www.readbyqxmd.com/read/28538326/technology-in-strength-and-conditioning-tracking-lower-limb-exercises-with-wearable-sensors
#17
Martin A OʼReilly, Darragh F Whelan, Tomas E Ward, Eamonn Delahunt, Brian Caulfield
Strength and conditioning (S&C) coaches offer expert guidance to help those they work with achieve their personal fitness goals. However, because of cost and availability issues, individuals are often left training without expert supervision. Recent developments in inertial measurement units (IMUs) and mobile computing platforms have allowed for the possibility of unobtrusive motion tracking systems and the provision of real-time individualized feedback regarding exercise performance. These systems could enable S&C coaches to remotely monitor sessions and help gym users record workouts...
June 2017: Journal of Strength and Conditioning Research
https://www.readbyqxmd.com/read/28534858/an-adaptive-orientation-estimation-method-for-magnetic-and-inertial-sensors-in-the-presence-of-magnetic-disturbances
#18
Bingfei Fan, Qingguo Li, Chao Wang, Tao Liu
Magnetic and inertial sensors have been widely used to estimate the orientation of human segments due to their low cost, compact size and light weight. However, the accuracy of the estimated orientation is easily affected by external factors, especially when the sensor is used in an environment with magnetic disturbances. In this paper, we propose an adaptive method to improve the accuracy of orientation estimations in the presence of magnetic disturbances. The method is based on existing gradient descent algorithms, and it is performed prior to sensor fusion algorithms...
May 19, 2017: Sensors
https://www.readbyqxmd.com/read/28534857/optimization-based-sensor-fusion-of-gnss-and-imu-using-a-moving-horizon-approach
#19
Fabian Girrbach, Jeroen D Hol, Giovanni Bellusci, Moritz Diehl
The rise of autonomous systems operating close to humans imposes new challenges in terms of robustness and precision on the estimation and control algorithms. Approaches based on nonlinear optimization, such as moving horizon estimation, have been shown to improve the accuracy of the estimated solution compared to traditional filter techniques. This paper introduces an optimization-based framework for multi-sensor fusion following a moving horizon scheme. The framework is applied to the often occurring estimation problem of motion tracking by fusing measurements of a global navigation satellite system receiver and an inertial measurement unit...
May 19, 2017: Sensors
https://www.readbyqxmd.com/read/28532417/instrumented-balance-and-walking-assessments-in-persons-with-multiple-sclerosis-show-strong-test-retest-reliability
#20
Jordan J Craig, Adam P Bruetsch, Sharon G Lynch, Fay B Horak, Jessie M Huisinga
BACKGROUND: There is a need for objective movement assessment for clinical research trials aimed at improving gait and balance in persons with multiple sclerosis (PwMS). Wireless inertial sensors can accurately measure numerous walking and balance parameters but these measures require evaluation of reliability in PwMS. The current study determined the test-retest reliability of wireless inertial sensor measures obtained during an instrumented standing balance test and an instrumented Timed Up and Go test in PwMS...
May 22, 2017: Journal of Neuroengineering and Rehabilitation
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