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Shaghayegh Zihajehzadeh, Edward J Park
Walking speed is widely used to study human health status. Wearable inertial measurement units (IMU) are promising tools for the ambulatory measurement of walking speed. Among wearable inertial sensors, the ones worn on the wrist, such as a watch or band, have relatively higher potential to be easily incorporated into daily lifestyle. Using the arm swing motion in walking, this paper proposes a regression model-based method for longitudinal walking speed estimation using a wrist-worn IMU. A novel kinematic variable is proposed, which finds the wrist acceleration in the principal axis (i...
2016: PloS One
Cherie Walker, Peter Sinclair, Kenneth Graham, Stephen Cobley
Inertial Measurement Units (IMUs) may offer an ecologically valid, reliable, and practical method for biomechanical performance analysis. With such potential in mind, Part 1 of this study examined the accuracy of IMUs gyroscopes with an optical system (Cortex 3.3). A calibration formula standardised the IMUs angular velocity output with the optical system. The percentage differences between the two measures = 0.5% (p < 0.05), suggest IMU's efficacy for application. In Part 2, the aim was to examine and understand how dive flight angular velocity time series plots change and increase according to dive degree of difficulty...
October 20, 2016: Sports Biomechanics
Felix M Duerr, Alexandra Pauls, Chris Kawcak, Kevin Haussler, Gina Bertocci, Valerie Moorman, Melissa King
OBJECTIVE: To evaluate the use of inertial measurement units (IMU) for quantification of canine limb kinematics. METHODS: Sixteen clinically healthy, medium-sized dogs were enrolled. Baseline kinematic data were acquired using an optical motion capture system. Following this baseline data acquisition, a harness system was used for attachment of IMU to the animals. Optical kinematic data of dogs with and without the harness were compared to evaluate the influence of the harness on gait parameters...
October 20, 2016: Veterinary and Comparative Orthopaedics and Traumatology: V.C.O.T
Yao Li, Feng Cao, Tat Thang Vo Doan, Hirotaka Sato
The mechanisms and principles of insect flight have long been investigated by researchers working on micro and nano air vehicles (MAVs/NAVs). However, studies of insect flight maneuvers require high speed filming and high spatial resolution in a small experimental space, or the tethering of the insect to a fixed place. Under such artificial conditions, the insects may deviate its flying behavior from that of regular flight. In this study, we mounted a tiny wireless system, or 'backpack', on live beetles (Mecynorrhina torquata; length 62 ± 8 mm; mass 7...
2016: Bioinspiration & Biomimetics
Qian Zhang, Lei Wang, Zengjun Liu, Yiming Zhang
The calibration of an inertial measurement unit (IMU) is a key technique to improve the preciseness of the inertial navigation system (INS) for missile, especially for the calibration of accelerometer scale factor. Traditional calibration method is generally based on the high accuracy turntable, however, it leads to expensive costs and the calibration results are not suitable to the actual operating environment. In the wake of developments in multi-axis rotational INS (RINS) with optical inertial sensors, self-calibration is utilized as an effective way to calibrate IMU on missile and the calibration results are more accurate in practical application...
September 19, 2016: Optics Express
R M A van der Slikke, M A M Berger, D J J Bregman, H E J Veeger
Quantitative assessment of an athlete׳s individual wheelchair mobility performance is one prerequisite needed to evaluate game performance, improve wheelchair settings and optimize training routines. Inertial Measurement Unit (IMU) based methods can be used to perform such quantitative assessment, providing a large number of kinematic data. The goal of this research was to reduce that large amount of data to a set of key features best describing wheelchair mobility performance in match play and present them in meaningful way for both scientists and athletes...
October 3, 2016: Journal of Biomechanics
Luca Ricci, Fabrizio Taffoni, Domenico Formica
The accuracy in orientation tracking attainable by using inertial measurement units (IMU) when measuring human motion is still an open issue. This study presents a systematic quantification of the accuracy under static conditions and typical human dynamics, simulated by means of a robotic arm. Two sensor fusion algorithms, selected from the classes of the stochastic and complementary methods, are considered. The proposed protocol implements controlled and repeatable experimental conditions and validates accuracy for an extensive set of dynamic movements, that differ in frequency and amplitude of the movement...
2016: PloS One
Leandro Vargas-Meléndez, Beatriz L Boada, María Jesús L Boada, Antonio Gauchía, Vicente Díaz
This article presents a novel estimator based on sensor fusion, which combines the Neural Network (NN) with a Kalman filter in order to estimate the vehicle roll angle. The NN estimates a "pseudo-roll angle" through variables that are easily measured from Inertial Measurement Unit (IMU) sensors. An IMU is a device that is commonly used for vehicle motion detection, and its cost has decreased during recent years. The pseudo-roll angle is introduced in the Kalman filter in order to filter noise and minimize the variance of the norm and maximum errors' estimation...
2016: Sensors
Oishee Mazumder, Ananda Sankar Kundu, Prasanna Kumar Lenka, Subhasis Bhaumik
Ambulatory activity classification is an active area of research for controlling and monitoring state initiation, termination, and transition in mobility assistive devices such as lower-limb exoskeletons. State transition of lower-limb exoskeletons reported thus far are achieved mostly through the use of manual switches or state machine-based logic. In this paper, we propose a postural activity classifier using a 'dendogram-based support vector machine' (DSVM) which can be used to control a lower-limb exoskeleton...
August 21, 2016: Gait & Posture
Meghan P ODonovan, Jonathan T Kaplan, Clifford L Hancock
No abstract text is available yet for this article.
May 2016: Medicine and Science in Sports and Exercise
Ellen McGinnis, Ryan McGinnis, Maria Muzik, Jessica Hruschak, Nestor Lopez-Duran, Noel Perkins, Kate Fitzgerald, Katherine Rosenblum
Temporal phases of threat response including Potential Threat (Anxiety), Acute Threat (Startle, Fear), and Post-threat Response Modulation have been identified as underlying markers of anxiety disorders. Objective measures of response during these phases may help identify children at risk for anxiety, however the complexity of current assessment techniques prevent their adoption in many research and clinical contexts. We propose an alternative technology, an inertial measurement unit (IMU), that enables non-invasive measurement of the movements associated with threat response, and test its ability to detect threat response phases in young children at heightened risk for developing anxiety...
August 25, 2016: IEEE Journal of Biomedical and Health Informatics
Jian Wu, Lu Sun, Roozbeh Jafari
A Sign Language Recognition (SLR) system translates signs performed by deaf individuals into text/speech in real time. Inertial measurement unit (IMU) and surface electromyography (sEMG) are both useful modalities to detect hand/arm gestures. They are able to capture signs and the fusion of these two complementary sensor modalities will enhance system performance. In this paper, a wearable system for recognizing American Sign Language (ASL) in real-time is proposed, fusing information from an inertial sensor and sEMG sensors...
August 25, 2016: IEEE Journal of Biomedical and Health Informatics
Fabio A Storm, Christopher J Buckley, Claudia Mazzà
Wearable sensors technology based on inertial measurement units (IMUs) is leading the transition from laboratory-based gait analysis, to daily life gait monitoring. However, the validity of IMU-based methods for the detection of gait events has only been tested in laboratory settings, which may not reproduce real life walking patterns. The aim of this study was to evaluate the accuracy of two algorithms for the detection of gait events and temporal parameters during free-living walking, one based on two shank-worn inertial sensors, and the other based on one waist-worn sensor...
August 12, 2016: Gait & Posture
Yongchun Zuo, Yuan Li, Yingli Chen, Guangpeng Li, Zhenhe Yan, Lei Yang
: The reduced amino acids perform powerful ability for both simplifying protein complexity and identifying functional conserved regions. However, dealing with different protein problems may need different kinds of cluster methods. Encouraged by the success of pseudo-amino acid composition (PseAAC) algorithm, we developed a freely available web server, called PseKRAAC (The pseudo K-tuple reduced amino acids composition). By implementing reduced amino acid alphabets, the protein complexity can be significantly simplified, which leads to decrease chance of overfitting, lower computational handicap, and reduce information redundancy...
August 26, 2016: Bioinformatics
Mehdi Delrobaei, Stephanie Tran, Greydon Gilmore, Kenneth McIsaac, Mandar Jog
Bradykinesia is a disabling symptom of Parkinson's disease (PD) which presents with slowness of movement. Visual assessment using clinical rating scales is currently the gold standard to assess bradykinesia. Such assessments require multiple separate movements, are subjective, and rely on the ability of the rater to determine frequency and amplitude features of excursion of multiple joints simultaneously. The current study introduces the use of wearable inertial measurement units (IMUs) to characterize full-arm repetitive movements and provide a new index score for bradykinesia severity (BKI) in the upper limbs...
September 15, 2016: Journal of the Neurological Sciences
Vassilis Gikas, Harris Perakis
With the rapid growth in smartphone technologies and improvement in their navigation sensors, an increasing amount of location information is now available, opening the road to the provision of new Intelligent Transportation System (ITS) services. Current smartphone devices embody miniaturized Global Navigation Satellite System (GNSS), Inertial Measurement Unit (IMU) and other sensors capable of providing user position, velocity and attitude. However, it is hard to characterize their actual positioning and navigation performance capabilities due to the disparate sensor and software technologies adopted among manufacturers and the high influence of environmental conditions, and therefore, a unified certification process is missing...
2016: Sensors
Andrea Masiero, Antonio Vettore
Thanks to the recent diffusion of low-cost high-resolution digital cameras and to the development of mostly automated procedures for image-based 3D reconstruction, the popularity of photogrammetry for environment surveys is constantly increasing in the last years. Automatic feature matching is an important step in order to successfully complete the photogrammetric 3D reconstruction: this step is the fundamental basis for the subsequent estimation of the geometry of the scene. This paper reconsiders the feature matching problem when dealing with smart mobile devices (e...
2016: Sensors
Frieder Wittmann, Jeremia P Held, Olivier Lambercy, Michelle L Starkey, Armin Curt, Raphael Höver, Roger Gassert, Andreas R Luft, Roman R Gonzenbach
BACKGROUND: The effect of rehabilitative training after stroke is dose-dependent. Out-patient rehabilitation training is often limited by transport logistics, financial resources and a lack of motivation/compliance. We studied the feasibility of an unsupervised arm therapy for self-directed rehabilitation therapy in patients' homes. METHODS: An open-label, single group study involving eleven patients with hemiparesis due to stroke (27 ± 31.5 months post-stroke) was conducted...
2016: Journal of Neuroengineering and Rehabilitation
Denny Yu, Cem Dural, Melissa M B Morrow, Liyun Yang, Justin W Collins, Susan Hallbeck, Magnus Kjellman, Mikael Forsman
BACKGROUND: The introduction of robotic technology has revolutionized radical prostatectomy surgery. However, the potential benefits of robotic techniques may have trade-offs in increased mental demand for the surgeon and the physical demand for the assisting surgeon. This study employed an innovative motion tracking tool along with validated workload questionnaire to assess the ergonomics and workload for both assisting and console surgeons intraoperatively. METHODS: Fifteen RARP cases were collected in this study...
August 5, 2016: Surgical Endoscopy
Benoît Sijobert, Christine Azevedo-Coste, David Andreu, Claudia Verna, Christian Geny
This study aims to investigate the effect of a sensitive cueing on Freezing of Gait (FOG) and gait disorders in subjects suffering from Parkinson's disease (PD). 13 participants with Parkinson's disease were equipped with an electrical stimulator and a foot mounted inertial measurement unit (IMU). An IMU based algorithm triggered in real time an electrical stimulus applied on the arch of foot at heel off detection. Starting from standing, subjects were asked to walk at their preferred speed on a path comprising 5m straight, u-turn and walk around tasks...
June 13, 2016: European Journal of Translational Myology
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