Performance Analysis of Classification Algorithms for Activity Recognition using Micro-Doppler Feature

Classification of different human activities using micro-Doppler data and features is considered in this study, focusing on the distinction between walking and running. 240 recordings from 2 different human subjects were collected in a series of simulations performed in the real motion data from the Carnegie Mellon University Motion Capture Database. The maximum the micro-Doppler frequency shift and the period duration are utilized as two classification criterions. Numerical results are compared against several classification techniques including the Linear Discriminant Analysis (LDA), Naïve Bayes (NB), K-nearest neighbors (KNN), Support Vector Machine(SVM) algorithms. The performance of different classifiers is discussed aiming at identifying the most appropriate features for the walking and running classification

Aluminium Feeds for Reflector for NadirSAR

With the long term aim of developing a NadirSAR quadrotor UAV system specialized for monitoring broad acre grain fields, a large aperture load bearing antenna to use as the main structural element was sort. Here initial design work is presented on a candidate short f/D parabolic reflector antenna. An optimized splash plate feed and a dual mode coaxial horn were designed for the 10 to 10.5GHz experimenter’s band and were fed by aluminum waveguide. Both feeds gave better than 30% aperture efficiency on a low cost 11.6l0 diameter reflector that had a focal length of f/D=0.27

Bringing the Outside World In: Using Mixed Panel Assessment of Oral Presentations with Electrical and Electronic Engineering Students

Engineering students have been portrayed as having poor oral communication skills despite oral communication competence being a key factor in future career success. With the aim of equipping students with attributes identified as important for Engineering graduates this paper presents a research project carried out at the University of Nottingham Ningbo China in the Division of Science & Engineering with Electrical and Electronic with undergraduate students, focusing on the use of a mixed specialist and non-specialist audience for students’ end of semester oral presentations assessment. It is known that oral presentations are an important academic genre developing communication skills and confidence in students but it is an area which has been found to be lacking in traditional engineering courses. The innovation of the mixed panel was to help prepare students for life after university by giving them experience of pitching technical material appropriate to the knowledge of the audience, which is something they will have to do when working in companies or on projects. This paper outlines the experience from the perspective of the assessors from different disciplines who were interviewed to determine what they were looking for in the presentations. It will also review the experience of the students themselves, based on a survey which considered the impact the mixed audience had on their presentation preparation in terms of language, presenting skills and content. This innovation in assessment encourages multi-disciplinary thinking in students and the impact of audience on presentation content and delivery is something which could be explored across different academic fields

3D Directional Coupler for Impulse UWB: 3D Electromagnetic Simulation and Prototyping

The AWS Group developed a UWB radar and UWB transceiver for indoor people location and tracking. A radar concept has been developed. This paper will describe step by step the realization of a UWB directional coupler with a novel 3-D architecture. This paper gives a walkthrough of our design of the 3-D directional coupler

Empirical Analysis of Chirp and Multitones Performances with a UWB Software Defined Radar: Range, Distance and Doppler

In this study, a protocol for an unbiased analysis of radar signals' performance. Using a novel UWB software-defined radar, range profile, Doppler profile and detection range are evaluated for both Linear Frequency Modulated pulse and Multitones. The radar was prototyped and is comparable in overall performance to software defined radar test-beds found in the literature. The measured performance was in agreement with the simulations

The Experimental UWB Link

The experimental results from simple ultra wideband link are presented. The UWB link consisting of typical broadband microwave circuits built of commercially available components is able to send and detect unmodulated broadband electrical pulses with 20 MHz pulse repetition frequency. The system operates with approximately 60% of fractional bandwidth in 4GHz band with spectral density of -140dBW/Hz

Multitones’ Performance for Ultra Wideband Software Defined Radar

This chapter proposes and tests an approach for an unbiased study of radar waveforms’ performances. Through an empirical performance analysis, the performances of Chirp and Multitones are compared with both simulations and measurements. An ultra wideband software defined radar prototype was designed and the prototype has performances comparable to the state of the art in software defined radar. The study looks at peak-to-mean-envelope power ratio, spectrum efficiency, and pulse compression as independent waveform criteria. The experimental results are consistent with the simulations. The study shows that a minimum of 10 bits resolution for the AD/DA converters is required to obtain near-optimum performances

Magnetic and radar sensing for multimodal remote health monitoring

With the increased life expectancy and rise in health conditions related to aging, there is a need for new technologies that can routinely monitor vulnerable people, identify their daily pattern of activities and any anomaly or critical events such as falls. This paper aims to evaluate magnetic and radar sensors as suitable technologies for remote health monitoring purpose, both individually and fusing their information. After experiments and collecting data from 20 volunteers, numerical features has been extracted in both time and frequency domains. In order to analyse and verify the validation of fusion method for different classifiers, a Support Vector Machine with a quadratic kernel, and an Artificial Neural Network with one and multiple hidden layers have been implemented. Furthermore, for both classifiers, feature selection has been performed to obtain salient features. Using this technique along with fusion, both classifiers can detect 10 different activities with an accuracy rate of approximately 96%. In cases where the user is unknown to the classifier, an accuracy of approximately 92% is maintained

Bringing the Outside World In: Using Mixed Panel Assessment of Oral Presentations with Electrical Engineering Students

No abstract available

Mixed Panel Oral Presentation Assessment: Preparing Electrical & Electronic Engineering Students for Work

No abstract available