Feasibility Evaluation for Keyword Spotting System Using Mini Microphone Array on UAV

Andra, Muhammad Bagus; Rohman, Budiman P.A.; Usagawa, Tsuyoshi

doi:10.1109/igarss.2019.8899304

Cited by 7 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The result in Fig. 10(e) indicates that our method is applicable to data collected in real-world conditions using the developed octocopter system [7,8]. The figure also shows that our method, in this case, can produce a clearer image than the baseline methods.…”

Section: E Field Experiments Using the Dronementioning

confidence: 73%

“…The experiment used a drone that was modified and developed by us as described in [7,8]. The basic structure of the drone before modification is an octocopter with a diameter of around 1 meter.…”

Section: Experimental Data Acquisitionmentioning

confidence: 99%

“…With this potential in mind, we are building a multisensory drone system for supporting SAR missions in complex and chaotic disaster-affected areas [7,8] (see Fig. 1).…”

mentioning

confidence: 99%

See 2 more Smart Citations

Through-the-Wall Human Respiration Detection Using UWB Impulse Radar on Hovering Drone

Rohman

Andra

Nishimoto

2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

The detection of a human being behind obstacles using radar technology has many promising applications, such as post-disaster search and rescue missions. In the case of large observation areas, the use of an unmanned aerial vehicle as the moving platform for radar is an appealing approach. However, this task is challenging because human vital signs provide a relatively weak signal compared with background noise and clutter. The drone's instability also negatively affects the obtained radar signal. Thus, this paper presents a new signal processing method to extract and enhance respiration signals from drone-mounted radar. The method works by extracting the analytic signal representation and applying the subspace component segregation. Laboratory experiments in a controlled environment show that the proposed method can suppress a considerable level of vibration generated by unbalanced motor motion and enhance the respiration signal from radar data. A field experimental study using an octocopter in hovering mode confirms the method performs well in real-world conditions. Index Terms-vital sign detection, respiration detection, through-the-wall radar, ultra-wideband impulse radar, drone, unmanned aerial vehicle I. INTRODUCTION atural disasters occur frequently and can result in both material and non-material losses [1,2]. In catastrophic cases, large areas are affected with a huge number of victims. Post-disaster search and rescue (SAR) missions play a vital role in evacuating many live survivors quickly, thereby reducing the potential death toll. Advanced technology is necessary to support this mission [3,4].Notably, the use of unmanned aerial vehicles or drones for SAR missions in post-disaster environments is of interest to

show abstract

Section: E Field Experiments Using the Dronementioning

confidence: 73%

Section: Experimental Data Acquisitionmentioning

confidence: 99%

See 1 more Smart Citation

Through-the-Wall Human Respiration Detection Using UWB Impulse Radar on Hovering Drone

Rohman

Andra

Nishimoto

2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Remote detection of human respiration using ultra-wideband (UWB) radar is desirable for many applications, including military, medical, and search and rescue missions [1][2][3][4]. The use of a droneborne radar is promising, especially in large areas where observation is risky and complex.…”

Section: Introductionmentioning

confidence: 99%

“…The drone provides flexibility and mobility to support this kind of mission. In addition, the modularity of the drone means that different multiple sensors can be employed based on the specific mission [3,4]. However, the detection of human vital signs using a drone-borne radar is challenging, since the signal of human respiration is weak and easily contaminated by noise.…”

Section: Introductionmentioning

confidence: 99%

Remote Human Respiration Detection Using Ultra-Wideband Impulse Radar Mounted on a Linearly Flying Platform

Rohman¹,

Nishimoto²

2021

PIER M

View full text Add to dashboard Cite

Non-contact vital sign detection using radar is relevant for many applications. In search and rescue missions in disaster-stricken areas, this technology can be used to non-invasively detect live survivors on the ground. However, in a very large disaster area, a fast and effective detection approach is required. This need has suggested radar mounted on a flying platform such as a drone as the most feasible approach. This task is challenging, since human respiration is weak, and the signal recorded is easily affected by disturbances such as noise and movement of the platform. Therefore, in this study, we propose a signal processing technique to deal with this problem. Human respiration signals modulate a hyperbolic pattern recorded by moving radar because of distance projection, leading us to applying sequential image processing steps and hyperbolic pattern reconstruction to extract respiration signals. A Fourier transform is then applied to seek the respiration frequency component. The results of laboratory experiments show that the proposed method can detect human respiration. As an important note, the flying speed of the platform should be determined carefully to cope with slow human respiration.

show abstract

Portable Keyword Spotting and Sound Source Detection System Design on Mobile Robot with Mini Microphone Array

Andra

Usagawa

2020

2020 6th International Conference on Control, Automation and Robotics (ICCAR)

View full text Add to dashboard Cite

Feasibility Evaluation for Keyword Spotting System Using Mini Microphone Array on UAV

Cited by 7 publications

References 9 publications

Through-the-Wall Human Respiration Detection Using UWB Impulse Radar on Hovering Drone

Through-the-Wall Human Respiration Detection Using UWB Impulse Radar on Hovering Drone

Remote Human Respiration Detection Using Ultra-Wideband Impulse Radar Mounted on a Linearly Flying Platform

Portable Keyword Spotting and Sound Source Detection System Design on Mobile Robot with Mini Microphone Array

Contact Info

Product

Resources

About