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https://www.readbyqxmd.com/read/28335540/a-vehicle-steering-recognition-system-based-on-low-cost-smartphone-sensors
#1
Xinhua Liu, Huafeng Mei, Huachang Lu, Hailan Kuang, Xiaolin Ma
Recognizing how a vehicle is steered and then alerting drivers in real time is of utmost importance to the vehicle and driver's safety, since fatal accidents are often caused by dangerous vehicle maneuvers, such as rapid turns, fast lane-changes, etc. Existing solutions using video or in-vehicle sensors have been employed to identify dangerous vehicle maneuvers, but these methods are subject to the effects of the environmental elements or the hardware is very costly. In the mobile computing era, smartphones have become key tools to develop innovative mobile context-aware systems...
March 20, 2017: Sensors
https://www.readbyqxmd.com/read/28304337/inertial-motion-capture-costume-design-study
#2
Agnieszka Szczęsna, Przemysław Skurowski, Ewa Lach, Przemysław Pruszowski, Damian Pęszor, Marcin Paszkuta, Janusz Słupik, Kamil Lebek, Mateusz Janiak, Andrzej Polański, Konrad Wojciechowski
The paper describes a scalable, wearable multi-sensor system for motion capture based on inertial measurement units (IMUs). Such a unit is composed of accelerometer, gyroscope and magnetometer. The final quality of an obtained motion arises from all the individual parts of the described system. The proposed system is a sequence of the following stages: sensor data acquisition, sensor orientation estimation, system calibration, pose estimation and data visualisation. The construction of the system's architecture with the dataflow programming paradigm makes it easy to add, remove and replace the data processing steps...
March 17, 2017: Sensors
https://www.readbyqxmd.com/read/28302315/the-development-and-concurrent-validity-of-a-real-time-algorithm-for-temporal-gait-analysis-using-inertial-measurement-units
#3
E Allseits, J Lučarević, R Gailey, V Agrawal, I Gaunaurd, C Bennett
The use of inertial measurement units (IMUs) for gait analysis has emerged as a tool for clinical applications. Shank gyroscope signals have been utilized to identify heel-strike and toe-off, which serve as the foundation for calculating temporal parameters of gait such as single and double limb support time. Recent publications have shown that toe-off occurs later than predicted by the dual minima method (DMM), which has been adopted as an IMU-based gait event detection algorithm.In this study, a real-time algorithm, Noise-Zero Crossing (NZC), was developed to accurately compute temporal gait parameters...
February 21, 2017: Journal of Biomechanics
https://www.readbyqxmd.com/read/28293869/an-intelligent-body-posture-analysis-model-using-multi-sensors-for-long-term-physical-rehabilitation
#4
Chin-Feng Lai, Ren-Hung Hwang, Ying-Hsun Lai
Sensors can be installed on various body parts to provide information for computer diagnosis to identify the current body state. However, as human posture is subject to gravity, the direction of the force on each limb differs. For example, the directions of gravitational force on legs and trunk differ. In addition, each person's height and structure of limbs differs, hence, the acceleration and rotation resulted from such differences on force and length of the limbs of a person in motion would be different, and be presented by cases of different postures...
April 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28287991/adaptive-sliding-mode-control-of-dynamic-systems-using-double-loop-recurrent-neural-network-structure
#5
Juntao Fei, Cheng Lu
In this paper, an adaptive sliding mode control system using a double loop recurrent neural network (DLRNN) structure is proposed for a class of nonlinear dynamic systems. A new three-layer RNN is proposed to approximate unknown dynamics with two different kinds of feedback loops where the firing weights and output signal calculated in the last step are stored and used as the feedback signals in each feedback loop. Since the new structure has combined the advantages of internal feedback NN and external feedback NN, it can acquire the internal state information while the output signal is also captured, thus the new designed DLRNN can achieve better approximation performance compared with the regular NNs without feedback loops or the regular RNNs with a single feedback loop...
March 6, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28287483/mems-and-fog-technologies-for-tactical-and-navigation-grade-inertial-sensors-recent-improvements-and-comparison
#6
Olaf Deppe, Georg Dorner, Stefan König, Tim Martin, Sven Voigt, Steffen Zimmermann
In the following paper, we present an industry perspective of inertial sensors for navigation purposes driven by applications and customer needs. Microelectromechanical system (MEMS) inertial sensors have revolutionized consumer, automotive, and industrial applications and they have started to fulfill the high end tactical grade performance requirements of hybrid navigation systems on a series production scale. The Fiber Optic Gyroscope (FOG) technology, on the other hand, is further pushed into the near navigation grade performance region and beyond...
March 11, 2017: Sensors
https://www.readbyqxmd.com/read/28281468/design-and-stable-flight-of-a-21-g-insect-like-tailless-flapping-wing-micro-air-vehicle-with-angular-rates-feedback-control
#7
Hoang Vu Phan, Taesam Kang, Hoon Cheol Park
An insect-like tailless Flapping Wing Micro Air Vehicle (FW-MAV) without feedback control eventually becomes unstable after takeoff. Flying an insect-like tailless FW-MAV is more challenging than flying a bird-like tailed FW-MAV, due to the difference in control principles. This work introduces the design and controlled flight of an insect-like tailless FW-MAV, named KUBeetle. A combination of four-bar linkage and pulley-string mechanisms was used to develop a lightweight flapping mechanism that could achieve a high flapping amplitude of approximately 190º...
March 10, 2017: Bioinspiration & Biomimetics
https://www.readbyqxmd.com/read/28278470/a-context-aware-method-for-authentically-simulating-outdoors-shadows-for-mobile-augmented-reality
#8
Joao Barreira, Maximino Bessa, Luis Barbosa, Luis Magalhaes
Visual coherence between virtual and real objects is a major issue in creating convincing augmented reality (AR) applications. To achieve this seamless integration, actual light conditions must be determined in real time to ensure that virtual objects are correctly illuminated and cast consistent shadows. In this paper, we propose a novel method to estimate daylight illumination and use this information in outdoor AR applications to render virtual objects with coherent shadows. The illumination parameters are acquired in real time from context-aware live sensor data...
March 1, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28274467/an-iphone-application-for-upper-arm-posture-and-movement-measurements
#9
Liyun Yang, Wilhelmus J A Grooten, Mikael Forsman
There is a need for objective methods for upper arm elevation measurements for accurate and convenient risk assessments. The aims of this study were (i) to compare a newly developed iOS application (iOS) for measuring upper arm elevation and angular velocity with a reference optical tracking system (OTS), and (ii) to compare the accuracy of the iOS incorporating a gyroscope and an accelerometer with using only an accelerometer, which is standard for inclinometry. The iOS-OTS limits of agreement for static postures (9 subjects) were -4...
March 6, 2017: Applied Ergonomics
https://www.readbyqxmd.com/read/28269976/physical-and-physiological-demands-in-women-pole-dance-a-single-case-study
#10
Bruno Ruscello, Sara Iannelli, Filippo Partipilo, Mario Esposito, Laura Pantanella, Mary B Dring, Stefano D' Ottavio
We investigated the physical and physiological demands of a pole dancer's performance studied during a simulated competition, lasting 3 min 30 seconds. One single woman pole dancer (age: 22 years; height: 1.56 m; body weight: 52 kg; BMI: 21.4 kg·m-2; estimated HRmax:192.6 bpm) participated in the study. Physical data pertaining to accelerations and rotational values were collected by the means of a tri-axial accelerometer device integrating three gyroscopes. A complete video footage was recorded using four video cameras, using different sampling rates...
April 2017: Journal of Sports Medicine and Physical Fitness
https://www.readbyqxmd.com/read/28269710/support-vector-machine-classification-of-parkinson-s-disease-and-essential-tremor-subjects-based-on-temporal-fluctuation
#11
Decho Surangsrirat, Chusak Thanawattano, Ronachai Pongthornseri, Songphon Dumnin, Chanawat Anan, Roongroj Bhidayasiri
Tremor is a common symptom shared in both Parkinson's disease (PD) and Essential tremor (ET) subjects. The differential diagnosis of PD and ET tremor is important since the realization of treatment depends on specific medication. A novel feature is developed based on a hypothesis that tremor of PD subject has a larger fluctuation during resting than action task. Tremor signal is collected using a triaxial gyroscope sensor attached to subject's finger during kinetic and resting task. The angular velocity signal is analyzed by transforming a one-dimensional to two-dimensional signal using a relation of signal and its delay versions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269687/stayfit-a-wearable-application-for-gym-based-power-training
#12
Maram Maheedhar, Aman Gaurav, Vivek Jilla, Vijay N Tiwari, Rangavittal Narayanan
Comprehensive fitness training involves both cardiorespiratory and power components. Often power/muscle strength training is confused with cardiorespiratory endurance training. However, each of them target different physiological aspects of fitness. Although, wearable based fitness trackers designed towards cardiorespiratory endurance training are available in the market, a dedicated wearable based fitness application designed for power training/tracking is still not readily available to fitness enthusiasts...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269660/longitudinal-wearable-tremor-measurement-system-with-activity-recognition-algorithms-for-upper-limb-tremor
#13
Jeonghee Kim, Claire Parnell, Thomas Wichmann, Stephen P DeWeerth
Assessments of tremor characteristics by movement disorder physicians are usually done at single time points in clinic settings, so that the description of the tremor does not take into account the dependence of the tremor on specific behavioral situations. Moreover, treatment-induced changes in tremor or behavior cannot be quantitatively tracked for extended periods of time. We developed a wearable tremor measurement system with tremor and activity recognition algorithms for long-term upper limb behavior tracking, to characterize tremor characteristics and treatment effects in their daily lives...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269640/automatic-assessment-of-medication-states-of-patients-with-parkinson-s-disease-using-wearable-sensors
#14
Murtadha D Hssayeni, Michelle A Burack, Behnaz Ghoraani
Motor fluctuations are a major focus of clinical managements in patients with mid-stage and advance Parkinson's disease (PD). In this paper, we develop a new patient-specific algorithm that can classify those fluctuations during a variety of activities. We extract a set of temporal and spectral features from the ambulatory signals and then introduce a semi-supervised classification algorithm based on K-means and self-organizing tree map clustering methods. Two different types of cluster labeling are introduced: hard and fuzzy labeling...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269575/an-adaptive-model-approach-for-quantitative-wrist-rigidity-evaluation-during-deep-brain-stimulation-surgery
#15
Sofia Assis, Pedro Costa, Maria Jose Rosas, Rui Vaz, Joao Paulo Silva Cunha
Intraoperative evaluation of the efficacy of Deep Brain Stimulation includes evaluation of the effect on rigidity. A subjective semi-quantitative scale is used, dependent on the examiner perception and experience. A system was proposed previously, aiming to tackle this subjectivity, using quantitative data and providing real-time feedback of the computed rigidity reduction, hence supporting the physician decision. This system comprised of a gyroscope-based motion sensor in a textile band, placed in the patients hand, which communicated its measurements to a laptop...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269392/identifying-the-number-and-location-of-body-worn-sensors-to-accurately-classify-walking-transferring-and-sedentary-activities
#16
Omar Aziz, Stephen N Robinovitch, Edward J Park
In order to perform fall risk assessments using wearable inertial sensors in older adults in their natural settings where falls are likely to occur, a first step is to automatically segment and classify sensor signals of human movements into the known `activities of interest'. Sensor data from such activities can later be used through quantitative and qualitative analysis for differentiating fallers from non-fallers. In this study, ten young adults participated in experimental trials involving several variations of walking, transferring and sedentary activities...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269382/preliminary-investigation-of-energy-comparation-between-gyroscope-electromyography-and-vo2-wearable-sensors
#17
Gareth Williams, Saiyi Li, Pubudu N Pathirana
Building on previous experiments in the domain of energy expenditure estimation using wearable sensors, the measurements of energy ratios of a runner on a treadmill were analyzed to observe any commonalities between an inertia measurement unit and an electromyograph sensor. The subjects were equipped with a VO2 gas measurement device, an Inertial Measurement Unit (IMU) measuring gyroscopic activity and an electromyography (EMG) sensor network whilst running at 5 different speeds on a calibrated treadmill. The observed results established a co-linear relationship with the gyroscope based measurements, EMG based measurements with the VO2 measurements...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269329/vo2-estimation-using-6-axis-motion-sensor-with-sports-activity-classification
#18
Takashi Nagata, Naoteru Nakamura, Masato Miyatake, Akira Yuuki, Hiroyuki Yomo, Takashi Kawabata, Shinsuke Hara
In this paper, we focus on oxygen consumption (VO2) estimation using 6-axis motion sensor (3-axis accelerometer and 3-axis gyroscope) for people playing sports with diverse intensities. The VO2 estimated with a small motion sensor can be used to calculate the energy expenditure, however, its accuracy depends on the intensities of various types of activities. In order to achieve high accuracy over a wide range of intensities, we employ an estimation framework that first classifies activities with a simple machine-learning based classification algorithm...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269321/improving-modified-tardieu-scale-assessment-using-inertial-measurement-unit-with-visual-biofeedback
#19
Seoyoung Choi, Jonghyun Kim
Reliable spasticity assessment is important to provide appropriate intervention for spasticity. Modified Tardieu scale (MTS) assessment is simple and convenient enough to be used in clinical environment, but has poor or moderate reliability due to irregular passive stretch velocity and goniometric measurement. We proposed a novel inertial measurement unit (IMU)-based MTS assessment with gyroscope-based visual biofeedback to improve the reliability of MTS by providing regular passive stretch velocity. With five children with cerebral palsy and two raters, the IMU-based MTS assessment was compared with conventional MTS assessment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269318/the-limb-movement-analysis-of-rehabilitation-exercises-using-wearable-inertial-sensors
#20
Bingquan Huang, Oonagh Giggins, Tahar Kechadi, Brian Caulfield
Due to no supervision of a therapist in home based exercise programs, inertial sensor based feedback systems which can accurately assess movement repetitions are urgently required. The synchronicity and the degrees of freedom both show that one movement might resemble another movement signal which is mixed in with another not precisely defined movement. Therefore, the data and feature selections are important for movement analysis. This paper explores the data and feature selection for the limb movement analysis of rehabilitation exercises...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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