Simple Experiment of Doppler Effect Using Smartphone Microfon Sensor

Abstract

Doppler effect is the physical phenomena in which the emitted frequency is a source of change at a time when accepted by the detector due to relative movement of the detector towards the source of the wave or vice versa. This research aims to identify the Doppler effect symptoms by utilizing sensors found in smartphones. This research uses experimental method that combine the mechanical instruments and microphone smartphone sensor as measurement tool. The mechanical instruments used are a smartphone with the help of frequency sound generator software, Physics Toolbox, the camera as an instrument of data collectors, and Tracker as a motion analyzer software. Based on the results of the experiments, the author retrieved the value of the error and the standard deviation of each of the observed symptoms. The symptoms of Doppler effect upon source moving closer and moving away when the silent observer shows the error value of 0.04 % and 0.1185 % respectively with a standard deviation of 0.018 and 1.005. In addition, the experiment on Doppler effect as the source is staying still and as the observer approaching the source provides error value of 8.60 % and standard deviation of 13.501. As for the experiment on Doppler effect as the source and the observers are approaching each other displays the error value of 4.31 % and the standard deviation of 0.087. Overall, this experiment generates error value of 3.267 % and standard deviation of 3.665, inferring that the experiments conducted are accurate and precise in representing the Doppler effect phenomenon. Based on the results of this experiments, the researcher recommends to carry out practicum on Doppler effects with the help of smartphone sensors.

A survey of COVID-19 in public transportation: Transmission risk, mitigation and prevention

“…For example, low level (near) ultrasound can be used to fingerprint places and even be used as an identifier for devices ( Peng et al., 2007 ). Another option is to take advantage of the Doppler effect in sound measurements to detect proximity of objects and potentially people ( Malik et al., 2020 ). The main problem with sound is the difficulty of being captured through the microphone of a phone or other IoT device.…”

A Survey of COVID-19 in Public Transportation: Transmission Risk, Mitigation and Prevention

“…For example, low level (near) ultrasound can be used to fingerprint places and even be used as an identifier for devices ( Peng et al, 2007 ). Another option is to take advantage of the Doppler effect in sound measurements to detect proximity of objects and potentially people ( Malik et al, 2020 ). The main problem with sound is the difficulty of being captured through the microphone of a phone or other IoT device.…”

Acoustic Doppler effect experiment: integration of frequency sound generator, tracker and visual analyser

“…Therefore, previous researchers utilized smartphone applications to measure the frequency of sound waves [6][7][8]. In 2020, Malik et al proposed an experimental setup for the acoustic Doppler effect experiment using smartphone applications and tracker freeware [9]. They utilized frequency sound generator application to generate the sound wave, physics toolbox application to record the perceived frequency value heard by the observer and tracker open source software (OSS) to determine the speed of the sound source and the observer.…”

“…Therefore, this study was performed to design an acoustic Doppler effect experimental setup to improve the limitation of experimental setup by Malik et al [9] by integrating the frequency sound generator application, tracker and visual analyser. The experimental setup involves the generation of the sound wave using frequency sound generator application.…”