scholarly journals A Phase-Change Gel based Pressure Sensor with Tunable Sensitivity for Artificial Tactile Feedback System

2021 ◽  
Author(s):  
Houchao Jing ◽  
Lin Xu ◽  
Xuanqi Wang ◽  
Yaqing Liu ◽  
Jingcheng Hao
Keyword(s):  
Phase Change ◽  
Pressure Sensor ◽  
Essential Role ◽  
Somatosensory System ◽  
Feedback System ◽  
Tactile Feedback ◽  
Tactile Sensing ◽  
System P ◽  
Artificial Pressure ◽  
Human Hands

The somatosensory system in the skin plays an essential role for human hands to perform adaptive interactions with external environments, such as tactile sensing and handling objects. For artificial pressure...

Data fusion for a hand prosthesis tactile feedback system

2014 ◽  
Author(s):  
Huaiqi Huang ◽  
Christian Enz ◽  
Martin Grambone ◽  
Jorn Justiz ◽  
Tao Li ◽  
...  
Keyword(s):  
Data Fusion ◽  
Feedback System ◽  
Tactile Feedback ◽  
Hand Prosthesis

Laparoscopic grasper with an integrated tactile feedback system

2009 ◽  
Author(s):  
Christopher Wottawa ◽  
Richard E. Fan ◽  
Catherine E. Lewis ◽  
Brett Jordan ◽  
Martin O. Culjat ◽  
...  
Keyword(s):  
Feedback System ◽  
Tactile Feedback ◽  
Laparoscopic Grasper

scholarly journals Teletactile System Based on Mechanical Properties Estimation

2011 ◽  
Vol 8 (2) ◽  
pp. 237-252
Author(s):  
Mauro M. Sette ◽  
Hendrik Van Brussel ◽  
Jos Vander Sloten
Keyword(s):  
Mechanical Properties ◽  
Estimation Algorithm ◽  
Feedback System ◽  
Element Model ◽  
Tactile Feedback ◽  
Haptic Interface ◽  
Minimally Invasive Procedures ◽  
Invasive Procedures ◽  
New Approach ◽  
Missing Feature

Tactile feedback is a major missing feature in minimally invasive procedures; it is an essential means of diagnosis and orientation during surgical procedures. Previous works have presented a remote palpation feedback system based on the coupling between a pressure sensor and a general haptic interface. Here a new approach is presented based on the direct estimation of the tissue mechanical properties and finally their presentation to the operator by means of a haptic interface. The approach presents different technical difficulties and some solutions are proposed: the implementation of a fast Young’s modulus estimation algorithm, the implementation of a real time finite element model, and finally the implementation of a stiffness estimation approach in order to guarantee the system’s stability. The work is concluded with an experimental evaluation of the whole system.

Highly Sensitive Pressure Sensor Based on Bioinspired Porous Structure for Real-Time Tactile Sensing

2016 ◽  
Vol 2 (12) ◽  
pp. 1600356 ◽  
Author(s):  
Subin Kang ◽  
Jaehong Lee ◽  
Sanggeun Lee ◽  
SeulGee Kim ◽  
Jae-Kang Kim ◽  
...  
Keyword(s):  
Porous Structure ◽  
Real Time ◽  
Pressure Sensor ◽  
Tactile Sensing ◽  
Highly Sensitive ◽  
Sensitive Pressure

scholarly journals A preliminary study on characterisation of finger interface kinetics using a pressure and shear sensor system

2017 ◽  
Vol 42 (1) ◽  
pp. 60-65 ◽  
Author(s):  
Nicholas Hale ◽  
Maria Valero ◽  
Jinghua Tang ◽  
David Moser ◽  
Liudi Jiang
Keyword(s):  
Hand Function ◽  
Pressure Sensors ◽  
Feedback System ◽  
Tactile Feedback ◽  
Sensor System ◽  
Single Subject ◽  
Test Protocol ◽  
Crucial Component ◽  
Shear Sensor ◽  
Hand Test

Background: Our hands constantly handle objects throughout our lives, where a crucial component of this interaction is the detection of grasping (pressure) and slipping (shear) of the object. While there have been a large amount of studies using pressure sensors for grasping detection, synchronised pressure and shear detection at the finger/object interface is still needed. Objectives: This study aims to assess the feasibility of a sensor system designed to detect both pressure and shear at the fingertip/object interface via a single subject test. Study design: Descriptive study, proof of concept. Methods: One healthy subject participated in the study and was asked to perform a single finger test protocol and a simple hand test protocol. The corresponding multidirectional loads at the fingertip/object interface were measured in real time using a pressure and shear sensor system. Results: Results from the finger test protocol show peak values of up to approximately 50 kPa (5 N) and 30 kPa (3 N) of pressure for each test, respectively. Results from the hand test protocol show a pressure and shear profile that shows a large increase in grip force during the initial grasping of the object, with a peak pressure of approximately 50 kPa (5 N). The pressure and shear profile demonstrates that the load is not evenly distributed across all digits. Conclusion: This study provides evidence that the reported sensor system has sufficient resolution, dynamic response and load capability to capture biomechanical information during basic protocols and hand-grasping tasks. Clinical relevance The presented sensor system could be potentially used as a tool for measuring and evaluating hand function and could be incorporated into a prosthetic hand as a tactile feedback system.

scholarly journals SMART BIOFEEDBACK EXPECTORANT SYSTEM FOR IMPROVING THE LUNG CAPACITIES

2020 ◽  
Author(s):  
S. Anandh ◽  
R. Vasuki ◽  
Raid Saleem Al Baradie
Keyword(s):  
Side Effects ◽  
Flow Rate ◽  
Pressure Sensor ◽  
Feedback System ◽  
Flow Volume ◽  
Sampled Data ◽  
Time Duration ◽  
The Status ◽  
Forced Expiratory Flow ◽  
Expiratory Flow

The Biofeedback Expectorant is a device which is designed for patients sufferingfrom various lung disorders, associated with the production and secretion of excessivequantities of mucus within the airways and help to loosen the mucous so that it tendsto be hacked from the lungs. Meanwhile, the mucous in the lungs becomes thick anddifficult to wash out from the air routes. When this mucous remain in the air routes, itblocks airways and becomes hard to relax. The disease is likely to be conceivable ifthe mucous remains permanently in the air routes. When one breathes out through thisdevice, it bounces the ball inside to it. This action produces signals around 15 Hz andforward the vibration via the air ways. This amalgamation of enhanced intensity andvibration aids the mucous in moving into the air ways where it remains. Some patientscan’t blow for a longer duration, therefore a feedback system is designed in such away that the pressure is measured using a pressure sensor. If the value goes below thecertain threshold limit the beep sound is heard and a light indication is provided sothat we can find whether the patient should blow effectively. The Blowing time (howmuch time duration the patient is blowing) was measured and display in the LCDscreen. The forced expiratory flow volume (FEV1) and Peak Expiratory Flow Rate(PEFR) was calculated that gives an idea about the status of the lungs. The MannWhitney U Test was conducted with α = 0.05 for the sampled data, the results showthat the data is statistically significant. This device is small, portable, and easy to usewith no side effects.

scholarly journals EPILLOW: A FABRIC-BASED PRESSURE SENSOR ARRAY FOR TETRAPLEGIC PATIENT CALL DETECTION SYSTEM

2021 ◽  
Vol 84 (1) ◽  
pp. 183-192
Author(s):  
Normazlianita Mohamad Alias ◽  
Zakiran Abd Razak ◽  
Munirah Janjori ◽  
Mohd Yazed Ahmad ◽  
Julia Patrick Engkasan ◽  
...  
Keyword(s):  
Signal Processing ◽  
Pressure Sensor ◽  
Essential Role ◽  
Sensor Array ◽  
Detection System ◽  
Pressure Profile ◽  
Sensor Data ◽  
Signal Processing Algorithm ◽  
Lying Down

Call bell systems play an essential role in patient and nurse interaction in hospitals and at homes. However, many hospitalized patients, especially patients with tetraplegia, cannot press a call bell button for assistance due to hand weakness or paralysis from the neck down. This problem has motivated developing a fabric-based multi-array pressure sensor as a call bell garment, named ePillow, that works by detecting the pressure pattern on a pillow surface where the patient is lying down. In this study, off-the-shelf materials were utilized to form: i) a fabric-based multi-array pressure sensor system, ii) an acquisition circuit along with an interface, and iii) a signal processing algorithm to acquire and interpret the sensor data. To ensure the functionality of the proposed ePillow, a color-coded mesh plot was developed to visualize the sensor data. The reliability of the system was tested with two individuals. The pressure profile of the proposed ePillow shows a comparable profile to that of the commercialized pressure sensor. Findings from this case study have demonstrated the ability to map the force on the surface of the pillow and subsequently the location of the force applied with 71% accuracy and 70% sensitivity.  

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