2P2-A15 Tactile-Biofeedback System for Locomotion Rehabilitation : Design of Tactile Interfaces for Detecting and Displaying Foot Pressures

2006 ◽  
Vol 2006 (0) ◽  
pp. _2P2-A15_1-_2P2-A15_2
Author(s):  
Hiroyasu IWATA ◽  
Seiji KOBASHI ◽  
Daichi SAKURAI ◽  
Satoshi KAI ◽  
Shigeki SUGANO
2021 ◽  
Vol 11 (2) ◽  
pp. 756
Author(s):  
Hippokratis Apostolidis ◽  
Georgia Papantoniou ◽  
Thrasyvoulos Tsiatsos

The presented paper examines the deployment of a cost-effective biofeedback system that provides anxiety awareness during online examination activities. Human anxiety is classified by evaluating biosignals related to skin conductance, skin temperature, and heart rate. The first aim of this study is to check the presented system performance. Thus, we test the convergent validity of the system regarding self-report measures of anxiety. Moreover, the system is validated against a commercial tool of anxiety detection. Fifteen (15) postgraduate students took part in the relevant psychometric test. The convergent validity of the system is found to be satisfactory. The second aim of this study is to identify the participant’s personality dimensions according to Technology Readiness Index (TRI) which affects their academic performance and their real-time anxiety, as provided by the biofeedback device, during academic examinations. Thirty-five (35) postgraduate students, who were taking examinations in the form of synchronous online tests in the classroom for one of their lessons, took part in this stage of the research. The examined relationships are presented via a path model showing mainly that insecurity causes academic performance to decline, which in turn has a significant negative effect with increasing anxiety.


Soft Matter ◽  
2021 ◽  
Author(s):  
Abigail Nolin ◽  
Amanda Licht ◽  
Kelly Pierson ◽  
Chun-Yuan Lo ◽  
Laure V. Kayser ◽  
...  

We control the sense of touch through materials chemistry. To find tactile materials, we developed methods to screen materials and found that humans could distinguish surface monolayers which differed by a single atom substitution.


Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3297
Author(s):  
Philipp M. Schmid ◽  
Christoph M. Bauer ◽  
Markus J. Ernst ◽  
Bettina Sommer ◽  
Lars Lünenburger ◽  
...  

Neck pain is a frequent health complaint. Prolonged protracted malpositions of the head are associated with neck pain and headaches and could be prevented using biofeedback systems. A practical biofeedback system to detect malpositions should be realized with a simple measurement setup. To achieve this, a simple biomechanical model representing head orientation and translation relative to the thorax is introduced. To identify the parameters of this model, anthropometric data were acquired from eight healthy volunteers. In this work we determine (i) the accuracy of the proposed model when the neck length is known, (ii) the dependency of the neck length on the body height, and (iii) the impact of a wrong neck length on the models accuracy. The resulting model is able to describe the motion of the head with a maximum uncertainty of 5 mm only. To achieve this high accuracy the effective neck length must be known a priory. If however, this parameter is assumed to be a linear function of the palpable neck length, the measurement error increases. Still, the resulting accuracy can be sufficient to identify and monitor a protracted malposition of the head relative to the thorax.


Author(s):  
Yinpeng Chen ◽  
Weiwei Xu ◽  
Richard Isaac Wallis ◽  
Hari Sundaram ◽  
Thanassis Rikakis ◽  
...  

2021 ◽  
Vol 5 (ISS) ◽  
pp. 1-17
Author(s):  
Yosra Rekik ◽  
Edward Lank ◽  
Adnane Guettaf ◽  
Prof. Laurent Grisoni

Alongside vision and sound, hardware systems can be readily designed to support various forms of tactile feedback; however, while a significant body of work has explored enriching visual and auditory communication with interactive systems, tactile information has not received the same level of attention. In this work, we explore increasing the expressivity of tactile feedback by allowing the user to dynamically select between several channels of tactile feedback using variations in finger speed. In a controlled experiment, we show that a user can learn the dynamics of eyes-free tactile channel selection among different channels, and can reliable discriminate between different tactile patterns during multi-channel selection with an accuracy up to 90% when using two finger speed levels. We discuss the implications of this work for richer, more interactive tactile interfaces.


2007 ◽  
Vol 23 (4) ◽  
pp. 267-272 ◽  
Author(s):  
Moustapha Hafez
Keyword(s):  

Author(s):  
Nicola Esposito ◽  
Rosanna Maria Viglialoro ◽  
Vincenzo Ferrari
Keyword(s):  

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