Abstract

Collecting gait data and providing haptic feedback are essential for the safety and efficiency of robot-based rehabilitation. However, readily available devices that can perform both are scarce. This work presents a novel method for mutual sensing and haptic feedback, through the development of an inflatable soft haptic sensor (ISHASE). The design, modeling, and characterization of ISHASE are discussed. Four ISHASEs are embedded in the insole of a shoe to measure ground reaction forces and provide haptic feedback. Four participants were recruited to evaluate the performance of ISHASE as a sensor and haptic device. Experimental results indicate that ISHASE can accurately estimate user’s ground reaction forces while walking, with a maximum and a minimum accuracy of 91% and 85%, respectively. Haptic feedback was delivered to four different locations under the foot, and users could identify the location with an average 92% accuracy. A case study that exemplifies a rehabilitation scenario is presented to demonstrate ISHASE’s usefulness for mutual sensing and haptic feedback.

References

1.
Yumbla
,
E. Q.
,
Qiao
,
Z.
,
Tao
,
W.
, and
Zhang
,
W.
,
2021
, “
Human Assistance and Augmentation With Wearable Soft Robotics: A Literature Review and Perspectives
,”
Curr. Robot. Rep.
,
2
(
4
), pp.
399
413
.
2.
Shull
,
P. B.
,
Lurie
,
K. L.
,
Cutkosky
,
M. R.
, and
Besier
,
T. F.
,
2011
, “
Training Multi-Parameter Gaits to Reduce the Knee Adduction Moment With Data-Driven Models and Haptic Feedback
,”
J. Biomech.
,
44
(
8
), pp.
1605
1609
.
3.
Chen
,
D. K.
,
Haller
,
M.
, and
Besier
,
T. F.
,
2017
, “
Wearable Lower Limb Haptic Feedback Device for Retraining Foot Progression Angle and Step Width
,”
Gait Posture
,
55
(
1
), pp.
177
183
.
4.
Lurie
,
K. L.
,
Shull
,
P. B.
,
Nesbitt
,
K. F.
, and
Cutkosky
,
M. R.
,
2011
, “
Informing Haptic Feedback Design for Gait Retraining
,”
2011 IEEE World Haptics Conference
,
Istanbul, Turkey
,
June 21–24
, pp.
19
24
.
5.
Chen
,
J.-L.
,
Dai
,
Y.-N.
,
Grimaldi
,
N. S.
,
Lin
,
J.-J.
,
Hu
,
B.-Y.
,
Wu
,
Y.-F.
, and
Gao
,
S.
,
2022
, “
Plantar Pressure-Based Insole Gait Monitoring Techniques for Diseases Monitoring and Analysis: A Review
,”
Adv. Mater. Technol.
,
7
(
1
), p.
2100566
.
6.
Yang
,
H.
,
Chen
,
Y.
,
Sun
,
Y.
, and
Hao
,
L.
,
2017
, “
A Novel Pneumatic Soft Sensor for Measuring Contact Force and Curvature of a Soft Gripper
,”
Sens. Actuators A: Phys.
,
266
(
1
), pp.
318
327
.
7.
Chen
,
Y.
,
Guo
,
S.
,
Li
,
C.
,
Yang
,
H.
, and
Hao
,
L.
,
2018
, “
Size Recognition and Adaptive Grasping Using an Integration of Actuating and Sensing Soft Pneumatic Gripper
,”
Robot. Auton. Syst.
,
104
(
1
), pp.
14
24
.
8.
Navarro
,
S. E.
,
Goury
,
O.
,
Zheng
,
G.
,
Bieze
,
T. M.
, and
Duriez
,
C.
,
2019
, “
Modeling Novel Soft Mechanosensors Based on Air-Flow Measurements
,”
IEEE Robot. Autom. Lett.
,
4
(
4
), pp.
4338
4345
.
9.
Kong
,
K.
, and
Tomizuka
,
M.
,
2009
, “
A Gait Monitoring System Based on Air Pressure Sensors Embedded in a Shoe
,”
IEEE/ASME Trans. Mechatron.
,
14
(
3
), pp.
358
370
.
10.
Balaban
,
B.
, and
Tok
,
F.
,
2014
, “
Gait Disturbances in Patients With Stroke
,”
PM&R
,
6
(
7
), pp.
635
642
.
11.
Afzal
,
M. R.
,
Pyo
,
S.
,
Oh
,
M.-K.
,
Park
,
Y. S.
,
Lee
,
B.-C.
, and
Yoon
,
J.
,
2016
, “
Haptic Based Gait Rehabilitation System for Stroke Patients
,”
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
,
Daejeon, South Korea
,
Oct. 9–14
, pp.
3198
3203
.
12.
Pollard
,
J.
,
Le Quesne
,
L.
, and
Tappin
,
J.
,
1983
, “
Forces Under the Foot
,”
J. Biomed. Eng.
,
5
(
1
), pp.
37
40
.
13.
Graven-Nielsen
,
T.
,
Mense
,
S.
, and
Arendt-Nielsen
,
L.
,
2004
, “
Painful and Non-Painful Pressure Sensations From Human Skeletal Muscle
,”
Exp. Brain Res.
,
159
(
3
), pp.
273
283
.
14.
Nguyen
,
P. H.
,
Mohd
,
I. I.
,
Sparks
,
C.
,
Arellano
,
F. L.
,
Zhang
,
W.
, and
Polygerinos
,
P.
,
2019
, “
Fabric Soft Poly-Limbs for Physical Assistance of Daily Living Tasks
,”
2019 International Conference on Robotics and Automation (ICRA)
,
Montreal, QC, Canada
,
May 20–24
, pp.
8429
8435
.
15.
Nguyen
,
P. H.
, and
Zhang
,
W.
,
2020
, “
Design and Computational Modeling of Fabric Soft Pneumatic Actuators for Wearable Assistive Devices
,”
Sci Rep.
,
10
(
1
), p.
9638
.
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