This paper demonstrates the development of an insole-based wearable sensor embedded in footwear for the arcus pedis or foot plantar pressure assessment. The information data results of the foot landing patterns obtained from such foot plantar pressure assessments are significant in posture research. Postural injuries to the lower limbs may occur to most people due to unsuitable footwear selection and unrecognized foot plantar conditions. Several assessments have been conducted to examine the different types of the foot plantar arch. 20 participants with various arches types or chipped arcus pedis were involved in this examination. Participants are required to run on a treadmill at three different speeds to examine the plantar pressure distribution. There are two FSR sensors used, each on the plantar surface of the forefoot and rear foot. This paper concludes that different arcus pedis types such as low arch, medium arch and high arch are associated with the various pressure distributions under the foot. Wearable sensors that refer to biological sensor devices have the potential of clinical care to assess the state of foot plantar pressure and injury prevention methods.

1.
C. K.
Wong
,
R.
Weil
, and
E.
de Boer
, “
Standardizing foot-type classification using arch index value
,”
Physiotherapy Canada
, vol.
64
, no.
3
, pp.
280
283
,
2012
.
2.
F. A.
Irawan
,
L.
Nurrahmad
, and
D. F. W.
Permana
, “
The Association of Arch Height Index and Arcus Pedis on Agility: An Overview of Sport Science College Students
,”
Int. J. of Innovation, Creativity and Change
, vol.
14
, no.
11
, pp.
669
676
,
2020
.
3.
M. A.
Tahririan
,
M.
Motififard
,
M. N.
Tahmasebi
, and
B.
Siavashi
, “
Plantar fasciitis
,”
J. of research in medical sciences: the official journal of Isfahan University of Medical Sciences
, vol.
17
, no.
8
, p.
799
,
2012
.
4.
J. A.
Ortega
,
L. A.
Healey
,
W.
Swinnen
, and
W.
Hoogkamer
, “
Energetics and biomechanics of running footwear with increased longitudinal bending stiffness: a narrative review
,”
Sports Medicine
, pp.
1
22
,
2021
.
5.
D.
Rajendran
,
B. B.
Atitallah
,
R.
Ramalingame
,
R. B. Q.
Jose
, and
O.
Kanoun
, “Ultra Thin Nanocomposite In-Sole Pressure Sensor Matrix for Gait Analysis,” In
Advanced Sensors for Biomedical Applications
,
Springer
,
Cham
, pp.
33
45
,
2021
.
6.
M.
DeMello
. “
Feet and footwear: A cultural encyclopedia
,”
ABC-CLIO
,
2009
.
7.
L.
Shu
,
T.
Hua
,
Y.
Wang
,
Q.
Li
,
D. D.
Feng
, and
X.
Tao
, “
In-shoe plantar pressure measurement and analysis system based on fabric pressure sensing array
,”
IEEE Transactions on information technology in biomedicine
, vol.
14
, no.
3
, pp.
767
775
,
2010
.
8.
N.
Hegde
,
M.
Bries
, and
E.
Sazonov
, “
A comparative review of footwear-based wearable systems
,”
Electronics
, vol.
5
, no.
3
, p.
48
,
2016
.
9.
K.
Kanitthika
, and
K. S.
Chan
, “
Pressure sensor positions on insole used for walking analysis
,” In
The 18th IEEE Int. Symp. on Consumer Electronics (ISCE)
, pp.
1
2
, June
2014
.
10.
N.
Carbonaro
,
F.
Lorussi
, and
A.
Tognetti
, “
Assessment of a smart sensing shoe for gait phase detection in level walking
,”
Electronics
, vol.
5
, no.
4
, p.
78
,
2016
.
11.
A.
Ciniglio
,
A.
Guiotto
,
F.
Spolaor
, and
Z.
Sawacha
, “
The design and simulation of a 16-sensors plantar pressure insole layout for different applications: From sports to clinics, a pilot study
,”
Sensors
, vol.
21
, no.
4
, p.
1450
,
2021
.
12.
N.
Yodpijit
,
N.
Tavichaiyuth
,
M.
Jongprasithporn
,
C.
Songwongamarit
, and
T.
Sittiwanchai
, “
The use of smartphone for gait analysis
,” In
2017 3rd Int. Conf. on Control, Automation and Robotics (ICCAR
),
IEEE
, pp.
543
546
.
13.
A.
Saboor
, et al, “
Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review
,”
IEEE Access
, vol.
8
, pp.
167830
167864
,
2020
.
14.
S.
Said
,
S.
Al Kork
, and
A.
Nait-Ali
, “Wearable technologies in biomedical and biometric applications,” In
Biometrics under Biomedical Considerations
,
Springer
,
Singapore
, pp.
211
227
,
2019
.
15.
N. H. M.
Yunus
, et al, “
Performance comparison of micromachined antennas optimized at 5 GHZ for RF energy harvester
,”
Indones J. Electr Eng Comput Sci
, vol.
15
, no.
1
, pp.
258
265
,
2019
.
16.
M. I. A.
Suhaidi
, and
N. H. M.
Yunus
, “
Development of Blynk IoT-Based Air Quality Monitoring System
,”
J. of Engineering Technology
, vol.
9
, pp.
63
68
,
2021
.
17.
N. H. M.
Yunus
, et al, “
MEMS based antenna of energy harvester for wireless sensor node
,”
Microsystem technologies
, vol.
26
, no.
9
, pp.
2785
2792
,
2020
.
18.
X.
Yulin
,
J.
Caijun
, and
Y.
Jie
, “
Compliance control for grasping with a bionic robot hand
,” In
2016 Chinese Control and Decision Conf. (CCDC
),
IEEE
, pp.
5280
5285
.
19.
A.
Segal
, et al, “
The effect of walking speed on peak plantar pressure
,”
Foot & Ankle Int.
, vol.
25
, no.
12
, pp.
926
933
,
2004
.
This content is only available via PDF.
You do not currently have access to this content.