The dual-drive H-gantry (DHG) is widely used for high-speed high-precision Cartesian motion control applications. Compared with the rigid-linked gantry design, the flexure-linked design is able to prevent the damage o...
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This article describes the design and development of a data acquisition system to capture the effect of footwear on human foot & gait cycle. It involves the calculation of Duty Cycle & Period of force-sensing ...
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This article describes the design and development of a data acquisition system to capture the effect of footwear on human foot & gait cycle. It involves the calculation of Duty Cycle & Period of force-sensing resistors (FSR) which are mounted on right and left foot insoles. Two FSR sensors are placed at the fore-foot, one FSR sensor is placed at mid-foot and one FSR sensor is placed at rear-foot. An op-amp based FSR current-to-voltage converter circuit is designed and corresponding voltage data of each force-sensing resistors are collected using an AVR based SD Card module. Duty cycle & Period is calculated from the data stored in the SD Card module using MATLAB software and further processed to obtain the mean, standard deviation & kurtosis of each FSR sensor. In this exploratory study 3 Male participants are instructed to walk on Grassy Surface and Concrete Surface wearing 3 different footwear i.e. Sports shoe, Causal shoe and Sandal at different rates as walking and jogging while wearing the FSR mounted insoles. Anova Tests and subsequent T-Tests on the statistical parameters of duty cycle shows significant (α = 0.05) variation among different foot regions for the three different footwear with varying degree. These results indicate that our foot is affected by different types of footwear while walking and jogging on different surfaces affecting the Gait pattern of the participant's foot at Stance phase of the Gait cycle, which determines the dynamic characteristic of human locomotion.
We propose a novel monocular visual odometry (VO) system called UnDeepVO in this paper. UnDeepVO is able to estimate the 6-DoF pose of a monocular camera and the depth of its view by using deep neural networks. There ...
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We propose a novel monocular visual odometry (VO) system called UnDeepVO in this paper. UnDeepVO is able to estimate the 6-DoF pose of a monocular camera and the depth of its view by using deep neural networks. There are two salient features of the proposed UnDeepVo:one is the unsupervised deep learning scheme, and the other is the absolute scale recovery. Specifically, we train UnDeepVoby using stereo image pairs to recover the scale but test it by using consecutive monocular images. Thus, UnDeepVO is a monocular system. The loss function defined for training the networks is based on spatial and temporal dense information. A system overview is shown in Fig. 1. The experiments on KITTI dataset show our UnDeepVO achieves good performance in terms of pose accuracy.
This paper presents the design and simulation of a jumping mechanism as a means of flight initiation in Flapping Wing Micro Air Vehicles (FWMAV) inspired by birds. Most flying birds take off for flight from standing o...
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This paper presents the design and simulation of a jumping mechanism as a means of flight initiation in Flapping Wing Micro Air Vehicles (FWMAV) inspired by birds. Most flying birds take off for flight from standing or perching position at low air speed. A lightweight 4-bar leg mechanism has been designed using dimensional synthesis by motion generation. Graphical and analytical methods are established to determine the kinematic dimensions that fulfill some prescribed take-off maneuvers. Link cross sections have been optimized to reduce weight. The jumping leg has been tested with an efficient aerodynamic model that accurately predicts unsteady flapping wing aerodynamic characteristics just after launching. Transition of forces from leg to wings has been analyzed. For a jumping angle of about 50 degrees at 10m/s the 33.3 g ornithopter model gains momentum and reaches steady state flight at a velocity close to the initial value.
This letter presents a physical human-robot interaction scenario in which a robot guides and performs the role of a teacher within a defined dance training framework. A combined cognitive and physical feedback of perf...
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The cover image is based on the Focus Article Robotic interfaces for cognitive psychology and embodiment research: a research roadmap , by Philipp Beckerle, Claudio Castellini, and Bigna Lenggenhager, https://***/10.1...
The cover image is based on the Focus Article Robotic interfaces for cognitive psychology and embodiment research: a research roadmap , by Philipp Beckerle, Claudio Castellini, and Bigna Lenggenhager, https://***/10.1002/wcs.1486 .
This paper presents modelling of various gas application to modified atomic force microscope sensor in order to change its existing dynamic characteristics. This paper represents part of continuous research, which is ...
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Spectrum sensing is a core function at cognitive radio systems to have spectrum awareness. This could be achieved by collecting samples from the frequency band under observation to make a conclusion whether the band i...
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Spectrum sensing is a core function at cognitive radio systems to have spectrum awareness. This could be achieved by collecting samples from the frequency band under observation to make a conclusion whether the band is occupied, or it is a spectrum hole. The task of sensing is becoming more challenging especially at wideband spectrum scenario. The difficulty is due to conventional sampling rate theory which makes it infeasible to sample such very wide range of frequencies and the technical requirements are very costly. Recently, compressive sensing introduced itself as a pioneer solution that relaxed the wideband sampling rate requirements. It showed the ability to sample a signal below the Nyquist sampling rate and reconstructed it using very few measurements. In this paper, we discuss the approaches used for solving compressed spectrum sensing problem for wideband cognitive radio networks and how the problem is formulated and rendered to improve the detection performance.
Compressed spectrum sensing has gained considerable importance among researchers in the field of concern as a solution for wideband cognitive radio networks. Recently, published works on detecting primary users' s...
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ISBN:
(纸本)9781538692318;9781538692301
Compressed spectrum sensing has gained considerable importance among researchers in the field of concern as a solution for wideband cognitive radio networks. Recently, published works on detecting primary users' signals presented sustainable results by using small compression ratios over the AWGN channel. To the best of our knowledge, since the performance of compressed measurements based detection has not been investigated yet over fading channels, the current study, therefore, presents the performance of compressed measurements based energy detection over Rayleigh fading channel. The proposed work has been implemented by means of MATLAB software. In comparison with the traditional compressed energy detection over the Rayleigh fading channel, the results show that our proposed technique is better in detection performance.
This paper presents a method for the control of a 2-DOF inverted pendulum mounted on an omni-directional mobile platform. The system dynamics model is first established, and then two controllers are designed consideri...
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