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# Inertial

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#1
Junghee Kim, Sun Ok Hong, Tae Soup Shim, Ju Min Kim
Biological samples having viscoelastic properties are frequently tested using microfluidic devices. In addition, viscoelastic fluids such as polymer solutions have been used as a suspending medium to spatially focus particles in microchannels. The occurrence of flow instability even at low Reynolds number is a unique property of viscoelastic fluids. In this study, we report the instability in viscoelastic flow for a channel having a 90° bent geometry, which is a characteristic of many microfluidic devices...
August 17, 2017: Soft Matter
#2
Antonella Pomante, Luc P J Selen, W Pieter Medendorp
The vestibular system provides information for spatial orientation. However, this information is ambiguous: because the otoliths sense the gravito-inertial force, they cannot distinguish gravitational and inertial components. As a consequence, prolonged linear acceleration of the head can be interpreted as tilt, referred to as the somatogravic effect. Previous modeling work suggests that the brain disambiguates the otolith signal according to the rules of Bayesian inference, combining noisy canal cues with the a priori assumption that prolonged linear accelerations are unlikely...
August 16, 2017: Journal of Neurophysiology
#3
Arash Arami, Nevio L Tagliamonte, Federica Tamburella, Hsieng-Yung Huang, Marco Molinari, Etienne Burdet
This work presents a wearable device and the algorithms for quantitative modelling of joint spasticity and its application in a pilot group of subjects with different levels of spinal cord injury. The device comprises light-weight instrumented handles to measure the interaction force between the subject and the physical therapist performing the tests, EMG sensors and inertial measurement units to measure muscle activity and joint kinematics. Experimental tests included the passive movement of different body segments, where the spasticity was expected, at different velocities...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
#4
S Summa, J Tosi, F Taffoni, L Di Biase, M Marano, A Cascio Rizzo, M Tombini, G Di Pino, D Formica
Parkinson's disease (PD) is a neurodegenerative brain disorder that slowly brings on the dopaminergic neurons death. The depletion of the dopaminergic signal causes the onset of motor symptoms such as tremor, bradykinesia and rigidity. Usually, neurologists regularly monitor motor symptoms and motor fluctuations using the MDS-UPDRS part III clinical scale. Nevertheless, to have a more objective and quantitative evaluation, it is possible to assess the cardinal motor symptoms of PD using wearable sensors and portable robotic devices...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
#5
Fokke B van Meulen, Bert-Jan F van Beijnum, Jaap H Buurke, Peter H Veltink
Reduction of the number of sensors needed to evaluate arm movements, makes a system for the assessment of human body movements more suitable for clinical practice and daily life assessments. In this study, we propose an algorithm to reconstruct lower arm orientation, velocity and position, based on a sensing system which consists of only one inertial measurement unit (IMU) to the forearm. Lower arm movements were reconstructed using a single IMU and assuming that within a measurement there are moments without arm movements...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
#6
Samuel Wilson, Ravi Vaidyanathan
In this paper we introduce a robust multi-channel wearable sensor system for capturing user intent to control robotic hands. The interface is based on a fusion of inertial measurement and mechanomyography (MMG), which measures the vibrations of muscle fibres during motion. MMG is immune to issues such as sweat, skin impedance, and the need for a reference signal that is common to electromyography (EMG). The main contributions of this work are: 1) the hardware design of a fused inertial and MMG measurement system that can be worn on the arm, 2) a unified algorithm for detection, segmentation, and classification of muscle movement corresponding to hand gestures, and 3) experiments demonstrating the real-time control of a commercial prosthetic hand (Bebionic Version 2)...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
#7
Daniel Laidig, Thomas Schauer, Thomas Seel
Inertial Measurement Units (IMUs) have become a widely used tool for rehabilitation and other application domains in which human motion is analyzed using an ambulatory or wearable setup. Since the magnetic field is inhomogeneous in indoor environments and in the proximity of ferromagnetic material, standard orientation estimation and joint angle calculation algorithms often lead to inaccurate or even completely wrong results. One approach to circumvent this is to exploit the kinematic constraint that is induced by mechanical hinge joints and also by approximate hinge joints such as the knee joint and the finger (interphalangeal) joints of the human body...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
#8
Vatsala Goyal, Wilson Torres, Roshan Rai, Frances Shofer, Daniel Bogen, Phillip Bryant, Laura Prosser, Michelle J Johnson
Infants with developmental delays must be detected early in their development to minimize the progression of motor and neurological impairments. Our objective is to quantify how sensorized toys in a natural play environment can promote infant-toy physical interactions. We created a hanging elephant toy, equipped with an inertial measurement unit (IMU), a pressure transducer, and multiple feedback sensors, to be a hand-grasping toy. We used a 3 DoF robotic model with inputs from the IMU to calculate multiple kinematic metrics and an equation to calculate haptic metrics from the pressure transducer...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
#9
Maja Gorsic, Ali Darzi, Domen Novak
This paper presents two different strategies for difficulty adaptation in a competitive arm rehabilitation game: a manual adaptation strategy and an automatic performance-based adaptation strategy. The two strategies were implemented in a competitive game controlled with an inertial-sensor-based home rehabilitation device. They were first evaluated with 32 pairs of unimpaired participants, who played the game with manual adaptation, automated adaptation, or no adaptation. Each variant was played for 9 minutes...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
#10
Jorge Guerra, Jasim Uddin, Dawn Nilsen, James Mclnerney, Ammarah Fadoo, Isirame B Omofuma, Shatif Hughes, Sunil Agrawal, Peter Allen, Heidi M Schambra
There currently exist no practical tools to identify functional movements in the upper extremities (UEs). This absence has limited the precise therapeutic dosing of patients recovering from stroke. In this proof-of-principle study, we aimed to develop an accurate approach for classifying UE functional movement primitives, which comprise functional movements. Data were generated from inertial measurement units (IMUs) placed on upper body segments of older healthy individuals and chronic stroke patients. Subjects performed activities commonly trained during rehabilitation after stroke...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
#11
Uriel Martinez-Hernandez, Mohammed I Awad, Imran Mahmood, Abbas A Dehghani-Sanij
In this paper, a robust probabilistic formulation for prediction of gait events from human walking activities using wearable sensors is presented. This approach combines the output from a Bayesian perception system with observations from actions and decisions made over time. The perception system makes decisions about the current gait events, while observations from decisions and actions allow to predict the most probable gait event during walking activities. Furthermore, our proposed method is capable to evaluate the accuracy of its predictions, which permits to obtain a better performance and trade-off between accuracy and speed...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
#12
Eunjeong Ko, Eun Yi Kim
A significant challenge faced by visually impaired people is 'wayfinding', which is the ability to find one's way to a destination in an unfamiliar environment. This study develops a novel wayfinding system for smartphones that can automatically recognize the situation and scene objects in real time. Through analyzing streaming images, the proposed system first classifies the current situation of a user in terms of their location. Next, based on the current situation, only the necessary context objects are found and interpreted using computer vision techniques...
August 16, 2017: Sensors
#13
Matteo Albéri, Marica Baldoncini, Carlo Bottardi, Enrico Chiarelli, Giovanni Fiorentini, Kassandra Giulia Cristina Raptis, Eugenio Realini, Mirko Reguzzoni, Lorenzo Rossi, Daniele Sampietro, Virginia Strati, Fabio Mantovani
Flight height is a fundamental parameter for correcting the gamma signal produced by terrestrial radionuclides measured during airborne surveys. The frontiers of radiometric measurements with UAV require light and accurate altimeters flying at some 10 m from the ground. We equipped an aircraft with seven altimetric sensors (three low-cost GNSS receivers, one inertial measurement unit, one radar altimeter and two barometers) and analyzed ~3 h of data collected over the sea in the (35-2194) m altitude range. At low altitudes (H < 70 m) radar and barometric altimeters provide the best performances, while GNSS data are used only for barometer calibration as they are affected by a large noise due to the multipath from the sea...
August 16, 2017: Sensors
#14
Vitaly A Shneidman
The classical description of nucleation of cavities in a stretched fluid relies on a one-dimensional Fokker-Planck equation (FPE) in the space of their sizes r, with the diffusion coefficient D(r) constructed for all r from macroscopic hydrodynamics and thermodynamics, as shown by Zeldovich. When additional variables (e.g., vapor pressure) are required to describe the state of a bubble, a similar approach to construct a diffusion tensor D^ generally works only in the direct vicinity of the thermodynamic saddle point corresponding to the critical nucleus...
August 14, 2017: Journal of Chemical Physics
#15
Hsiu-Yu Yu, Zahera Jabeen, David M Eckmann, Portonovo S Ayyaswamy, Ravi Radhakrishnan
We have studied the microstructure of a flow-driven hardsphere suspension inside a cylinder using dynamical density functional theory and Monte Carlo simulations. In order to be representative of various physical conditions that may prevail in experiments, we investigate the problem using both the grand canonical ($\mu VT$) ensemble and the canonical ($NVT$) ensemble. In both ensembles, the hydrodynamic effect on the suspension mediated by the presence of the confining wall is implemented in a mean-field fashion by incorporating the thermodynamic work done by the inertial lift force on the particle given the average flow field...
August 15, 2017: Langmuir: the ACS Journal of Surfaces and Colloids
#16
OBJECTIVE: Remote monitoring of physical activity using body-worn sensors provides an objective alternative to current functional assessment tools. The purpose of this study was to assess the feasibility of classifying categories of activities of daily living from the Functional Arm Activity Behavioral Observation System (FAABOS) using muscle activation and motion data. METHODS: Ten non-disabled, healthy adults were fitted with a Myo armband on the upper forearm...
August 10, 2017: IEEE Transactions on Bio-medical Engineering
#17
This paper presents a novel approach for evaluating LBP in various settings. The proposed system uses cost-effective inertial sensors, in conjunction with pattern recognition techniques, for identifying sensitive classifiers towards discriminate identification of LB patients. 24 healthy individuals and 28 low back pain patients performed trunk motion tasks in five different directions for validation. Four combinations of these motions were selected based on literature, and the corresponding kinematic data was collected...
August 4, 2017: Computers in Biology and Medicine
#18
Simone Meloni, Alberto Giacomello, Carlo Massimo Casciola
Heterogeneous nucleation is the preferential means of formation of a new phase. Gas and vapor nucleation in fluids under confinement or at textured surfaces is central for many phenomena of technological relevance, such as bubble release, cavitation, and biological growth. Understanding and developing quantitative models for nucleation is the key to control how bubbles are formed and to exploit them in technological applications. An example is the in silico design of textured surfaces or particles with tailored nucleation properties...
December 7, 2016: Journal of Chemical Physics
#19
Xiao Wang, Hua Gao, Nadja Dindic, Necati Kaval, Ian Papautsky
Glass capillary tubes have been widely used in microfluidics for generating microdroplets and microfibers. Here, we report on the application of glass capillary to inertial focusing of microparticles and cells for high-throughput flow cytometry. Our device uses a commercially available capillary tube with a square cross-section. Wrapping the tube into a helical shape induces the Dean vortices that aid focusing of cells or microbeads into a single position. We investigated the inertial focusing of microbeads in the device at various Re and concentrations and demonstrated 3D focusing with ∼100% efficiency for a wide range of microparticle diameters...
January 2017: Biomicrofluidics
#20
Sofia Savvaki, Grigorios Tsagkatakis, Athanasia Panousopoulou, Panagiotis Tsakalides
Sensor-based activity recognition is encountered in innumerable applications of the arena of pervasive healthcare and plays a crucial role in biomedical research. Nonetheless, the frequent situation of unobserved measurements impairs the ability of machine learning algorithms to efficiently extract context from raw streams of data. In this work, we study the problem of accurate estimation of missing multi-modal inertial data and we propose a classification framework that considers the reconstruction of sub-sampled data during the test phase...
August 7, 2017: IEEE Journal of Biomedical and Health Informatics
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