Faheem Khan

Faheem Khan
Université de Bretagne Occidentale | UBO · Département d'Electronique

PhD

About

26
Publications
12,554
Reads
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525
Citations
Citations since 2017
20 Research Items
494 Citations
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2017201820192020202120222023020406080100120140
2017201820192020202120222023020406080100120140
Introduction
I have got PhD in electronics and computer engineering from Hanyang University (South Korea) and a 2 year post-doc from UBO Brittany, France. My research interests are radar based multi-human detection and localization. I have worked on real IR-UWB radar sensors and designed algorithms for vital signs monitoring, gesture recognition, multi-human detection, counting and localization. I have experience with signal processing as well as deep learning algorithms for human sensing applications.
Additional affiliations
March 2018 - February 2020
Hanyang University
Position
  • PostDoc Position
Education
September 2013 - February 2018
Hanyang University
Field of study
  • Electronics & Computer Engineering

Publications

Publications (26)
Article
Full-text available
In order to maintain mobility of patient and avoid cables which confine patient to a bed, it is important to monitor the patient wirelessly. The continuous non-invasive monitoring of vital signs helps in early detection of patient deterioration which is very important for the safety of patient. In this paper IR UWB radar is used for the monitoring...
Article
Around the world, many people live with total paralysis, which makes it difficult to communicate using speech, text or gestures. Moreover, people with severe disabilities cannot use communication devices including computers, tablets, or mobile phones given their inability to operate conventional input devices such as keyboard, mouse, and interfaces...
Article
Full-text available
In this study, we classify digits written in mid-air using hand gestures. Impulse radio ultra-wideband (IR-UWB) radar sensors are used for data acquisition, with three radar sensors placed in a triangular geometry. Conventional radar-based gesture recognition methods use whole raw data matrices or a group of features for gesture classification usin...
Patent
Full-text available
A gesture recognition device and method using radar are disclosed. The disclosed device comprises: a signal receiving unit for receiving a radar signal reflected by a gesture of a user; a clutter removing unit for removing clutter from the signal received by the signal receiving unit; a signal magnitude variance acquiring unit for acquiring the var...
Patent
Full-text available
A method and device for measuring biometric data using a UWB radar are disclosed. The disclosed method includes:(a) determining a respiratory rate by using reflection signals reflected off a target patient;(b) extracting respiration signals from the reflection signals, removing the extracted respiration signals from the reflection signals and conve...
Article
Full-text available
This paper deals with robust heart rate detection intended for the in-car monitoring of people. There are two main problems associated with radar-based heart rate detection. Firstly, the signal associated with the human heart is difficult to separate from breathing harmonics in the frequency domain. Secondly, the vital signal is affected by any int...
Article
This article aims to propose new techniques to detect and distinguish humans from moving machines in indoor environments. Although many research efforts have been already dedicated to humans’ indoor detection, most of the work has been focused on counting people and crowd measurement for consumer business applications. Our objective is to develop a...
Article
Full-text available
Two vital signs including heartbeat and respiratory rate are monitored in this work under two constraint situations; namely noise disturbance and intermittent observations. The existing scheme for finding, measuring and monitoring vital signs was Fourier Transform which could not deal with non-stationary process. As an alternative, the Wavelet Tran...
Article
Full-text available
Non-invasive remote health monitoring plays a vital role in epidemiological situations such as SARS outbreak (2003), MERS (2015) and the recently ongoing outbreak of COVID-19 because it is extremely risky to get close to the patient due to the spread of contagious infections. Non-invasive monitoring is also extremely necessary in situations where i...
Article
Full-text available
We developed an impulse radio ultra-wideband (IR-UWB) radar-based system that can recognize alphanumeric characters in midair without the need for any handheld device. The hardware consists of four IR-UWB radar sensors set up with a rectangular geometry. Writing a single character in midair results in artifacts that make some characters look simila...
Article
Full-text available
Digital menu boards (DMB) are convenient for customers as well as sellers. In this paper, we have implemented a DMB using IR-UWB transceivers. Unlike the traditional touch-based interfaces for menu selection, in our proposed system, users can select items from the menu without touching the screen. The screen is used to display the menu, and the use...
Article
Full-text available
The diversion of a driver's attention from driving can be catastrophic. Given that conventional button-and touch-based interfaces may distract the driver, developing novel distraction-free interfaces for the various devices present in cars has becomes necessary. Hand gesture recognition may provide an alternative interface inside cars. Given that c...
Preprint
Full-text available
In this paper, an algorithm for detecting the gestures based on counting the fingers is presented. We have used a single radar sensor to detect the fingers of the human hand. Finger counter may provide an easy human computer interface (HCI) which may be used in many applications such vehicular applications, menu selection or Television remote contr...
Presentation
Full-text available
Article
Full-text available
In order to avoid car crashes, active safety systems are becoming more and more important. Many crashes are caused due to driver drowsiness or mobile phone usage. Detecting the drowsiness of the driver is very important for the safety of a car. Monitoring of vital signs such as respiration rate and heart rate is important to determine the occurrenc...
Article
Full-text available
Modern cars continue to offer more and more functionalities due to which they need a growing number of commands. As the driver tries to monitor the road and the graphic user interface simultaneously, his/her overall efficiency is reduced. In order to reduce the visual attention necessary for monitoring, a gesture-based user interface is very import...
Conference Paper
In this paper, measurement of the heart rate and respiration rate using Wavelet transform has been discussed. As the existing schemes including Fourier transform are not suitable for non-stationary data [13], Wavelet transform is however an alternative remedy. Emphasis has been made on the main issue of extracting spectral information using wavelet...
Conference Paper
Full-text available
In this paper, the gesture recognition through IR-UWB radar is discussed. The gestures are made by human hand in front of the radar inside a car. The gestures can be used to control different electronics devices inside a car. The gestures vary among each other through different parameters such as change in displacement of the hand, change in magnit...
Conference Paper
Full-text available
In this paper the vital sign monitoring of a non-stationary human are measured by combining vital sign monitoring algorithm with movement detection method. First respiration and heart beat rate for a stationary human are explained and then a method for movement detection is discussed. The movement detection method is based on the autocorrelation pr...
Conference Paper
Full-text available
Measurement of respiration and heartbeat rate through IR UWB radar has been discussed; the main issues related to the extraction of heartbeat signal from the received signal are also described. An algorithm for estimation of heartbeat frequency from the received signal has been proposed. A notch filter bank is used to find the maximum peak frequenc...
Article
Thenormal trendin Linear Prediction (LP) techniques is fixed frame windowing. In this paper, however, dynamic window concept is introduced whereframe size is kept variable in order to achieve efficient outcome in terms of computational cost, mean square error and prediction gain. The three famous LP techniques namely Normal Equations, Levinson Durb...
Conference Paper
A mobile Ad-hoc network consists of nodes communicating with each other without any centralized infrastructure. Mobility and concentration of nodes varies from one location to another. Mobility of nodes in populated urban areas is limited and their concentration is high as compared to rural areas where the concentration of nodes is generally low. T...
Conference Paper
Loss of data in Communication Systems is a major problem. The main sources of data loss include congestion, sensor faults, mismatch of measuring devices and limited memory of the buffer registers. Three linear prediction (LP) techniques i.e. Normal Equation method, Levinson Durbin Algorithm (LDA) and Leroux Gueguen Algorithm (LGA) are used to predi...
Conference Paper
Three different linear prediction coefficients (LPC) techniques are employed lo restore missing data in the process of state estimation. The conventional Normal Equation method has been found computationally expensive. Alternatively. Levinson Durbin Algorithm (LDA) considerably reduces this computational cost by avoiding the larger matrix inversion...

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Projects

Projects (3)
Project
IR UWB radar sensors have the advantage of working well in dark environments and can see through the wall objects as compared to other gesture recognition techniques using camera or other sensors. We are using machine learning algorithms to distinguish among different gestures.