Inertia Sensor Detecting Materials using Electromagnetic Signals
ERIETTA VASILAKI
Department of Electronics Engineering
Hellenic Mediterranean University
Chania, GREECE
IRAKLIS RIGAKIS
Department of Electrical and
Electronics Engineering
University of West Attica
Atghens, GREECE
THEODORE PAPADOULIS
Department of Electronic Engineering
Hellenic Mediterranean University
Chania, GREECE
ALEXIOS STARIDAS
Department of Electrical and Computer
Engineering
Hellenic Mediterranean University
Heraklion, GREECE
ANTONIA PSAROUDAKI
Depa rtment of Nutrition and Dietetics
Sciences
Hellenic Mediterranean University
Sitia, GREECE
LAMBROS FRANTZESKAKIS
Department of Electronic Engineering
Hellenic Mediterranean University
Chania, GREECE
ZISIS MAKRIS
Department of Electronics Engineering
Hellenic Mediterranean University
Chania, GREECE
DIAMANTO LAZARI
Department of Pharmacognosy-
Pharmacology
Aristotle University of Thessaloniki,
Thessaloniki, GREECE
EMMANUEL ANTONIDAKIS
Electronics Engineering
Hellenic Mediterranean University
Chania, GREECE
Abstract: There are many commercial sensors that use inertia systems and others that use electromagnetic systems. Until now, none of the
existing sensors combines a circular inertia movement with the simultaneous transmission of electromagnetic radiation in the band of very
low (VLF) and ultra low (ULF) frequencies. The aim of this paper is to show the design of such a sensor, that contains an electromagnetic
signal generator and to observe and monitor its movement on a free rotating inclined platform. An accurate positioning and monitoring
system is used in order to measure the velocity and acceleration at every position on its movement. It is a novel system that is already in use
in material identification and localization. It is indubitably working and exports excellent results, although we are not still familiar with the
laws of physics that determine the specific phenomenon. Until this point the sensor is used to identify only a limited number of materials.
In the future it would be ideal to use it for more materials, find their frequencies and create a library that contains many materials and
different kind of substances.
Keywords: electromagnetic field, sensor, frequency, time, acceleration, gray code, inertia system
Received: June 9, 2021. Revised: June 12, 2022. Accepted: July 15, 2022. Published: August 3, 2022.
1. Introduction
We live in a world that almost everything is controlled
and sensed by sensors. The importance of the sensors for
mankind is obvious. The first sensors appeared with the
existence of the living creatures and they are their organs.
Eyes and ears are typical examples. The first detect
electromagnetic radiation, while the second detect sound.
Later, man realized that he needed measuring instruments in
order to solve everyday life problems, so he started creating
sensors. The first sensors were mechanical, such as a
thermometer. The rise of electricity led to the construction of
electrical sensors. The evolution of semiconductors had as
result the creation of new advanced sensors and digital
measuring devices.
A sensor is a devise that detects a physical quantity and
produces a countable signal. Usually modern sensors are
devices that detect an external signal and respond to it with
an electrical signal and they ensure that measurement data
are transmitted faster and more accurate.
One of the classifications of sensors, is active-passive.
The next classification is based on the kind of the materials
the sensor detects, for example Electric, Biological,
Chemical, Radioactive, etc. Another type of sensors are
Analog and Digital Sensors. The final classification is based
on the phenomenon that occurs, i.e. Photoelectric,
Thermoelectric, Electrochemical, Electromagnetic, etc.
Some types of sensors are accelerometer, IR sensor,
temperature sensor, pressure sensor, frequency sensor,
gyroscope and many others. There are inertia sensors, such
as gyroscope, and there are electromagnetic sensors such as
accelerometer.
A unique sensor that combines the movement of an
inertia system with the transmission of very low (VLF) and
ultra low (ULF) electromagnetic frequencies is described
below.[1], [2].
2. System and Circumferential
(Apparatus)
An inertia system [3], [4] is on a circular motion path.
The inertia system has a telescopic antenna and circuitry to
bring signal to the antenna. Under some circumstances a
force is exerted on the antenna of the inertia system that
alters its expected motion. It has been observed that this
force appears when specific material is located towards the
direction pointed by the antenna. The antenna has emitted
appropriate signal for the specific material.
This paper shows how the inertia system is designed and
how it is operated. Then the Electronic Circuitry that is
generating the signals on the antenna will be analyzed. Also,
the circuitry on the inertia system, used to detect the force
that is exerted on the inertia system at the presence of the
material, is described. The method how the appropriate
signals are found for each specific material is presented.
Some parameters that affect the force will be analyzed
WSEAS TRANSACTIONS on SYSTEMS
DOI: 10.37394/23202.2022.21.15
Erietta Vasilaki, Iraklis Rigakis,
Theodore Papadoulis, Alexios Staridas,
Antonia Psaroudaki, Lambros Frantzeskakis,
Zisis Makris, Diamanto Lazari, Emmanuel Antonidakis
E-ISSN: 2224-2678
140
Volume 21, 2022
2.1. Inertia System Design and Operation
An inertia systems on circular motion is designed and
operated that consists of four Units: (1) An Electronic Box
containing: (a) a Signal Generator System, producing
electromagnetic signals, and (b) a force detection circuitry,
(2) a Telescopic Antenna where the signals are emitted from,
(3) a perpendicular Axial fixed underneath the generator box
around which the circular motion will take place and (4) a
Base through which the inertia system is able to rotate
around its Axial. Fig.1 (a), (b) shows the System. By “x” is
marked the Center of Mass of Units 1&2.
Fig.1 (a) The inertia system with its four units: Electronic Box, Telescopic
Antenna, Perpendicular Axial and Base[5]
Fig.1 (b) The outline figure of the inertia system
The inertia system consists of 2 pieces: Piece 1 is the
Electronics box with the antenna attached on it, and the
perpendicular axial fixed underneath the generator box.
Piece 2 is the cylindrical base with can hold the generator
and antenna. Pieces 1 and 2 of the inertia systems can be
viewed in Fig.2.
Fig.2[5]
The Base is tilted from vertical position. The system
resting position is as shown on Fig.3.
Fig.3 Resting position of the system
An initial position is given to the system. Then the
system will start its movement. In the following Fig.4, the
series of frames from 1-11 show the movement followed by
the inertia system. Frame 1 shows the original position which
is the initial condition of the system. The System is brought
to initial position, Frame 1, and it is released to start its
motion. Frames 1-11 show one oscillation.
Fig.4
The weight W of Units 1&2, of Piece 1, is causing a
torque that makes the inertia system to rotate on a damped
oscillation around its axial. The Weight component on the
direction of movement is Wt(t). Another force when the
movement starts, is the friction Tf. The Inertia system
follows a movement based on the application of these forces.
The motion is described by angular velocity ω(t).
Fig. 5 Diagram that shows the forces on the system
On the antenna of the inertia system a signal is applied by
the Generator Circuitry. Different signals may be applied on
the antenna according to the type of material that will need to
be detected and will be affecting the movement. When a
material is located in a direction headed by the antenna, only
then an extra force F is excreted on the antenna of the inertia
system. This force F is opposing the movement. Fig. 5 shows
the forces on the system.
WSEAS TRANSACTIONS on SYSTEMS
DOI: 10.37394/23202.2022.21.15
Erietta Vasilaki, Iraklis Rigakis,
Theodore Papadoulis, Alexios Staridas,
Antonia Psaroudaki, Lambros Frantzeskakis,
Zisis Makris, Diamanto Lazari, Emmanuel Antonidakis
E-ISSN: 2224-2678
141
Volume 21, 2022
Then, total torque is calculated by the following
equation:
Fig.6 shows the forces exerted on the inertia system that
affect its motion and the angular velocity ω(t) that the system
is rotating around the axial. If ω(t) becomes zero before the
end of the expected motion (frame 11) then this suggests the
presence of an extra force exerted on the inertia system. The
angular velocity ω(t) cannot become zero when the system
starts its motion on the downward path (Frame 1-6). This is
because the friction is small and the force F(t) is small too,
compared to the weight.
Fig.6
On the other hand, on the upwards path (Frame 7-11), all
the forces act in the same direction opposing the movement
ω(t), as shown in Fig.7. If the system stops before Frame 11
this suggests the presence of an extra force. The larger the
force F the sooner the movement will stop. The following
video shows the movement of the inertia system.
https://youtu.be/tcGJNDHG6AI
Fig.7
2.2 Electronic Circuitry
In this section, the electronics in the box of the inertia
system are analyzed. The signal generator and the force
detection circuitry have the electronics schematic diagram in
the Fig.8 bellow.
2.2.1 The Signal Generator circuitry
The Micro Computer Unit MCU1 processor receives
commands from the user through a keyboard while the user
can see and select from the display. In the MCU1 memory,
information is stored about the signals that need to be
produced for the different materials to be detected. The
frequencies of the signals are from 1-100KHz. The signal
amplitude is from 1-30V pp. A 3.3V lithium battery of 2700
mAh is used and powers up the system for about 10 hours.
The system display remains powered on only while the user
is changing the settings through the keyboard, so no
considerable amount of power is consumed on the display.
After MCU1 receives command from the user for the type of
material to be searched, the MCU1 gives commands to the
DDS to produce the signal for the selected material, with
great accuracy of 0.001Hz. The output of the DDS is
amplified and then put on the antenna. The user can select
the amplitude of the output signal.
2.2.2 The Force detection circuitry
A vertical-axis accelerometer is used as a vibration sensor. It
has been observed that: when the Force F is exerted on the
system, as a result of the presence of material in the direction
headed by the antenna, the inertia system mechanically
vibrates with characteristic frequency. The signal of the
accelerometer is conditioned and then entered into MCU2 to
be processed. In the MCU2 an FFT algorithm is running to
calculate the vibration frequencies.
MCU 1
DDS
POWER
SUPPLY
Verical -AXIS
ACCELERATION
SENSOR
ELECTRONIC
COMPASS
SIGNAL
CONDITIONER
OUTPUT
AMPLIFIER
LCD
DISPLAY
KEYBOARD
MCU 2
+3.3V
+5V
+12V
-12V
GND
BATTERY
BUZZER
LED INDICATOR
Fig.8 Electronics schematic diagram for the signal generator and the force
detection circuitry
Also, not shown in the diagram of Fig.8, a wireless
communication module can be included in the System. The
wireless module transmits the angle of heading to a nearby
computer.
Fig.9 is a picture taken from an oscilloscope. On the
upper part the signal of the accelerometer in time is showing.
On the right side of the signal, it can be seen signal with
higher amplitude. This is when the antenna heading passes
in-front of the direction of the material.
On the bottom part of Fig. 9, the FFT (Fast Fourier
Transform) of the above signal is showing the mechanical
vibration frequencies of the antenna, and the amplitude of
every frequency. The scale is 2Hz (1/500ms) per division of
WSEAS TRANSACTIONS on SYSTEMS
DOI: 10.37394/23202.2022.21.15
Erietta Vasilaki, Iraklis Rigakis,
Theodore Papadoulis, Alexios Staridas,
Antonia Psaroudaki, Lambros Frantzeskakis,
Zisis Makris, Diamanto Lazari, Emmanuel Antonidakis
E-ISSN: 2224-2678
142
Volume 21, 2022
the oscilloscope. We notice the higher peak is at the 6th
division on the screen of the oscilloscope, which represents
12Hz. This is the characteristic mechanical vibration
frequency of the inertia system when the force F is applied.
This designates the presence of the material.
Fig.9 Picture taken from an oscilloscope [5]
2.3. Angular Positioning System
The angle of the sensor is calculated by using Gray code
[7][11] (reflected binary code). The Gray code is a binary
enumerating system that consecutive numbers differ by just
one bit.
An example is shown below.
Decimal
Value
Binary
Code
Gray
Code
0
0000
0000
1
0001
0001
2
0010
0011
3
0011
0010
4
0100
0110
5
0101
0111
6
0110
0101
7
0111
0100
8
1000
1100
Table 1. Examples of Binary and Gray code [6]
A 9-bit Gray code is used in order to have 29=512
combinations.
A cycle is 360°, so the accuracy of each step in the code
is:
360°/512 = 0,703125° 0,7°
That means that the minimum difference of the calculated
angles is about 0,7°.
The disk that has the Gray code printed on it, is attached
to an electronic reader communicating with a raspberry-pi
computer board, that sends the readings of the angles
wireless to a computer.
Fig.10 Vertical representation of the 9-bit Gray code
Fig.11 Electronic reader
WSEAS TRANSACTIONS on SYSTEMS
DOI: 10.37394/23202.2022.21.15
Erietta Vasilaki, Iraklis Rigakis,
Theodore Papadoulis, Alexios Staridas,
Antonia Psaroudaki, Lambros Frantzeskakis,
Zisis Makris, Diamanto Lazari, Emmanuel Antonidakis
E-ISSN: 2224-2678
143
Volume 21, 2022
Fig.12 Disk of Gray code attached to raspberry computer and wireless
connection with laptop.
Fig.13 Complete inertia system with sensor, gray code and connection with
raspberry and laptop.
3. Experimental procedure
The experimental procedure is described below.
The electromagnetic sensor that is described in section II
and a chemical substance, such as phenol, will be used for
this paper.
The sensor is placed in a fixed position where it can
move freely around its axis in a circular movement. The
angle of the rotation of the sensor begins at 50° and stops at
about 300°. Phenol is placed in a prearranged position
opposite sensor. The distance between the sensor and the
phenol is 5m. The quantity of the phenol in use is 1 kg and it
is placed at 184.3°
Phenol, also called carbolic acid, is an aromatic organic
substance with the chemical formula C6H5OH [12][16]. It is
a very simple compound that responds to the frequency of
3696,8 Hz. Its formula is shown below:
The frequency of the phenol is adjusted to the sensor.
The sensor is activated and starts its movement. When the
antenna of the sensor is aligned with the phenol, a
deceleration on the sensor can be observed. This deceleration
is recorded by a raspberry-pi computer board and it is sent to
a laptop. A diagram of deceleration versus angle is made
(Fig.13).
This diagram shows the force that is applied on the
antenna of the sensor, in the form of deceleration. The sensor
receives decelerations that vary in intensity throughout its
total movement. When the antenna of the sensor passes in
front of the material in use, a force is applied on the antenna
and the deceleration increases significantly.
4. Conclusion
Every substance has a certain frequency that is the
corresponding frequency for each material. When the sensor
emits this frequency, the material interacts with the sensor
and applies a force on the antenna of the sensor.
According to Fig.13 it is shown that when the sensor
points at the direction of the phenol, while transmitting its
corresponding frequency, a deceleration on the antenna is
observed. More specific the deceleration is maximum among
the other decelerations that are being recorded. The
decelerations that appear in the angles that do not contain
any substance, could be considered as noise. That means that
these decelerations are just random due to mechanical factors
of the movement.
It has been observed that when the sensor transmits the
frequency of a substance and gets aligned with the certain
substance, the recorded deceleration is always the maximum.
So, if such a diagram is available then we can say by
certainty that in the angle where the maximum deceleration
is observed there is the material in study.
This method is already in use for identification of
substances. If the frequency of a substance is known, then
when the sensor emits the certain frequency it can identify
every material that contains the certain substance. Also, it
can find the place where the substance is as long as it is
placed in a distance less than 5m.
The sensor could be used as a new method of detection of
substances. A library can be created with the frequencies of
substances. Then this could be a novel method for
identification of substances with a short-range non-contact
sensor [17]-[21]. It is a fast, relatively cheap method that
does not deform the samples in study. It is easy in use and
very precise. It can identify a part of a molecular structure, or
the whole chemical substance, as well as the material in
general.
More research needs to be done on the physics about the
force applied on the antenna. Also, more work needs to be
WSEAS TRANSACTIONS on SYSTEMS
DOI: 10.37394/23202.2022.21.15
Erietta Vasilaki, Iraklis Rigakis,
Theodore Papadoulis, Alexios Staridas,
Antonia Psaroudaki, Lambros Frantzeskakis,
Zisis Makris, Diamanto Lazari, Emmanuel Antonidakis
E-ISSN: 2224-2678
144
Volume 21, 2022
Fig.13 Graph of acceleration versus angle for Phenol
done correlating the detection frequency with the molecular
structure.
Summarizing the main points of the paper:
Every material reacts to a certain frequency, its
corresponding frequency
When the sensor emits the corresponding
frequency of a material near it, a force is applied
on the antenna of the sensor and a deceleration
is recorded.
This deceleration is maximum when the antenna
passes in front of the material.
It is a novel method of identification of
substances and materials.
It could be used in localization of materials.
This method doesn’t affect the substances in
use. It doesn’t destroy them and in most of the
cases it is not necessary for the substances to be
taken out of their packages in order to be
studied.
References:
[1] H. E. Chung, W. Ye, S. G. Vora, S. Rednour, and D. R. Allee, “A
Passive Very Low-Frequency (VLF) Electric Field Imager,” IEEE
Sensors Journal, vol. 16, no. 9, pp. 31813187, May 2016, doi:
10.1109/JSEN.2016.2530741.
[2] R. Cormier and Y. Bouslimani, “Electromagnetic and inertial motion
sensor fusion,” IEEE International Symposium on Robotic and
Sensors Environments, ROSE 2021 - Proceedings, 2021, doi:
10.1109/ROSE52750.2021.9611762.
[3] A. Hamaguchi, M. Kanbara, and N. Yokoya, “User localization using
wearable electromagnetic tracker and orientation sensor,” Proceedings
- International Symposium on Wearable Computers, ISWC, pp. 55
60, 2006, doi: 10.1109/ISWC.2006.286343.
[4] L. Reddy Cenkeramaddi, J. Bhatia, A. Jha, S. Kumar Vishkarma, and
J. Soumya, “A Survey on Sensors for Autonomous Systems,” in 2020
15th IEEE Conference on Industrial Electronics and Applications
(ICIEA), Nov. 2020, pp. 11821187. doi:
10.1109/ICIEA48937.2020.9248282.
[5] E. Vasilaki and E. Antonidakis, “Medicine detection with Low
Frequency Electromagnetic Signals,” WSEAS TRANSACTIONS ON
BIOLOGY AND BIOMEDICINE, vol. 17, pp. 99103, Sep. 2020,
doi: 10.37394/23208.2020.17.12.
[6] https://electronicsarea.com/gray-code-introduction/
[7] M. Abdullah-Al-Shafi and A. Newaz Bahar, “Novel Binary to Gray
Code Converters in QCA with Power Dissipation Analysis Related
papers Implement at ion of Binary t o Gray Code Convert ers in
Quant um Dot Cellular Aut omat a Md. Abdullah-Al-Shafi Area
Efficient Code Convert ers Based on Quant um-Dot Cellular Aut
omat a Novel Binary to Gray Code Converters in QCA with Power
Dissipation Analysis,” International Journal of Multimedia and
Ubiquitous Engineering, vol. 11, no. 8, pp. 379396, 2016, doi:
10.14257/ijmue.2016.11.8.38.
[8] G. Ben-Artzi, H. Hel-Or, and Y. Hel-Or, “The gray-code filter
kernels,” IEEE Transactions on Pattern Analysis and Machine
Intelligence, vol. 29, no. 3, pp. 382393, Mar. 2007, doi:
10.1109/TPAMI.2007.62.
[9] H. Mehta, R. M. Owens, and M. J. Irwin, “Some issues in gray code
addressing,” Proceedings of the IEEE Great Lakes Symposium on
VLSI, pp. 178181, 1996, doi: 10.1109/GLSV.1996.497616.
[10] J. R. Bitner, G. Ehrlich, and E. M. Reingold, “Efficient generation of
the binary reflected gray code and its applications,” Commun ACM,
vol. 19, no. 9, pp. 517521, Sep. 1976, doi: 10.1145/360336.360343.
[11] R. W. Doran, “CDMTCS Research Report Series The Gray Code The
Gray Code,” 2007.
[12] R. J. Schmidt, “Industrial catalytic processes - Phenol production,”
Applied Catalysis A: General, vol. 280, no. 1, pp. 89103, Feb. 2005,
doi: 10.1016/J.APCATA.2004.08.030.
[13] U. Quint, " R T Miiuer, and G Miiller, “Characteristics of phenol
Instillation in intralesional tumor excision of chondroblastoma,
osteoclastoma and enchondroma,” Arch Orthop Trauma Surg, vol.
117, pp. 4346, 1998.
[14] T. Romih, E. Menart, V. Jovanovski, A. Jeri, S. Andren, and S. B.
Ho, “Sodium-Polyacrylate-Based Electrochemical Sensors for
Highly Sensitive Detection of Gaseous Phenol at Room
Temperature,” 2020, doi: 10.1021/acssensors.0c00973.
[15] H. S. Hashim, Y. W. Fen, N. A. S. Omar, N. I. M. Fauzi, and W. M.
E. M. M. Daniyal, “Recent advances of priority phenolic compounds
detection using phenol oxidases-based electrochemical and optical
sensors,” Measurement: Journal of the International Measurement
Confederation, vol. 184, Nov. 2021, doi:
10.1016/J.MEASUREMENT.2021.109855.
[16] N. H. Ly, S. J. Son, H. H. Kim, and S. W. Joo, “Recent Developments
in Plasmonic Sensors of Phenol and Its Derivatives,” Applied
Sciences 2021, Vol. 11, Page 10519, vol. 11, no. 22, p. 10519, Nov.
2021, doi: 10.3390/APP112210519.
[17] “24 GHZ SHORT-RANGE MICROWAVE SENSORS FOR
INDUSTRIAL AND VEHICULAR APPLICATIONS | Semantic
Scholar.” https://www.semanticscholar.org/paper/24-GHZ-SHORT-
RANGE-MICROWAVE-SENSORS-FOR-INDUSTRIAL-Heide-
WSEAS TRANSACTIONS on SYSTEMS
DOI: 10.37394/23202.2022.21.15
Erietta Vasilaki, Iraklis Rigakis,
Theodore Papadoulis, Alexios Staridas,
Antonia Psaroudaki, Lambros Frantzeskakis,
Zisis Makris, Diamanto Lazari, Emmanuel Antonidakis
E-ISSN: 2224-2678
145
Volume 21, 2022
Vossiek/0c5001ca0de68e2a42187ab95f22f50727f2d65e (accessed
Jul. 01, 2022).
[18] C. Gu, “Short-Range Noncontact Sensors for Healthcare and Other
Emerging Applications: A Review,” Sensors 2016, Vol. 16, Page
1169, vol. 16, no. 8, p. 1169, Jul. 2016, doi: 10.3390/S16081169.
[19] Hasan Tariq, Shafaq Sultan, "Real-time Contactless Bio-Sensors and
Systems for Smart Healthcare using IoT and E-Health Applications,"
WSEAS Transactions on Biology and Biomedicine, vol. 19, pp. 91-
106, 2022.
[20] Sandra Marquez-Figueroa, Yuriy S. Shmaliy, Oscar Ibarra-Manzano,
"Improving Gaussianity of EMG Envelope for Myoelectric Robot
Arm Control," WSEAS Transactions on Biology and Biomedicine,
vol. 18, pp. 106-112, 2021.
[21] Alexandre Rabaseda, Emelie Seguin, Marc Doumit, "Enhancing
Human Mobility Exoskeleton Comfort Using Admittance Controller,"
WSEAS Transactions on Biology and Biomedicine, vol. 18, pp. 24-
31, 2021.
Creative Commons Attribution License 4.0
(Attribution 4.0 International, CC BY 4.0)
This article is published under the terms of the Creative
Commons Attribution License 4.0
https://creativecommons.org/licenses/by/4.0/deed.en_US
WSEAS TRANSACTIONS on SYSTEMS
DOI: 10.37394/23202.2022.21.15
Erietta Vasilaki, Iraklis Rigakis,
Theodore Papadoulis, Alexios Staridas,
Antonia Psaroudaki, Lambros Frantzeskakis,
Zisis Makris, Diamanto Lazari, Emmanuel Antonidakis
E-ISSN: 2224-2678
146
Volume 21, 2022