Haptic display device with fingertip presser for motion/force teaching to human

2002 ◽  
Author(s):  
R. Kikuuwe ◽  
T. Yoshikawa
Keyword(s):  
Display Device ◽  
Haptic Display

Support System for Micro Operation using a Haptic Display Device

2007 ◽  
Author(s):  
Masahiro Furukawa ◽  
Mitsunori Ohta ◽  
Satoru Miyajima ◽  
Maki Sugimoto ◽  
Syoichi Hasegawa ◽  
...  
Keyword(s):  
Support System ◽  
Display Device ◽  
Haptic Display

1P1-H13 A Palm-worn Haptic Display : Device Design and Prototyping

2008 ◽  
Vol 2008 (0) ◽  
pp. _1P1-H13_1-_1P1-H13_4
Author(s):  
Sho KAMURO ◽  
Kouta MINAMIZAWA ◽  
Naoki KAWAKAMI ◽  
Susumu Tachi
Keyword(s):  
Display Device ◽  
Haptic Display ◽  
Device Design

scholarly journals HaPouch: A Miniaturized, Soft, and Wearable Haptic Display Device Using a Liquid-to-gas Phase Change Actuator

IEEE Access ◽  
2022 ◽  
pp. 1-1
Author(s):  
Ryusei Uramune ◽  
Hiroki Ishizuka ◽  
Takefumi Hiraki ◽  
Yoshihiro Kawahara ◽  
Sei Ikeda ◽  
...  
Keyword(s):  
Phase Change ◽  
Gas Phase ◽  
Display Device ◽  
Haptic Display

Development of a Novel Slip Haptic Display Device Based on the Localized Displacement Phenomenon

2016 ◽  
Vol 1 (1) ◽  
pp. 585-592 ◽  
Author(s):  
Van Anh Ho ◽  
Hisayoshi Honda ◽  
Shinichi Hirai
Keyword(s):  
Display Device ◽  
Haptic Display

Estimating OLED Display Device Lifetime from pixel and screen brightness and its application

2019 ◽  
Vol 2019 (1) ◽  
pp. 331-338 ◽  
Author(s):  
Jérémie Gerhardt ◽  
Michael E. Miller ◽  
Hyunjin Yoo ◽  
Tara Akhavan
Keyword(s):  
Image Processing ◽  
Power Consumption ◽  
Model Parameters ◽  
Display Device ◽  
Image Processing Algorithm ◽  
Pixel Value ◽  
Device Lifetime ◽  
The Impact ◽  
Oled Display

In this paper we discuss a model to estimate the power consumption and lifetime (LT) of an OLED display based on its pixel value and the brightness setting of the screen (scbr). This model is used to illustrate the effect of OLED aging on display color characteristics. Model parameters are based on power consumption measurement of a given display for a number of pixel and scbr combinations. OLED LT is often given for the most stressful display operating situation, i.e. white image at maximum scbr, but having the ability to predict the LT for other configurations can be meaningful to estimate the impact and quality of new image processing algorithms. After explaining our model we present a use case to illustrate how we use it to evaluate the impact of an image processing algorithm for brightness adaptation.

scholarly journals Three-Axis Pneumatic Haptic Display for the Mechanical and Thermal Stimulation of a Human Finger Pad

Actuators ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 60
Author(s):  
Eun-Hyuk Lee ◽  
Sang-Hoon Kim ◽  
Kwang-Seok Yun
Keyword(s):  
Pulse Width Modulation ◽  
Haptic Feedback ◽  
Control Function ◽  
Lateral Displacement ◽  
Gain Control ◽  
Haptic Display ◽  
Positional Accuracy ◽  
Control Module ◽  
Haptic Displays ◽  
Human Finger

Haptic displays have been developed to provide operators with rich tactile information using simple structures. In this study, a three-axis tactile actuator capable of thermal display was developed to deliver tactile senses more realistically and intuitively. The proposed haptic display uses pneumatic pressure to provide shear and normal tactile pressure through an inflation of the balloons inherent in the device. The device provides a lateral displacement of ±1.5 mm for shear haptic feedback and a vertical inflation of the balloon of up to 3.7 mm for normal haptic feedback. It is designed to deliver thermal feedback to the operator through the attachment of a heater to the finger stage of the device, in addition to mechanical haptic feedback. A custom-designed control module is employed to generate appropriate haptic feedback by computing signals from sensors or control computers. This control module has a manual gain control function to compensate for the force exerted on the device by the user’s fingers. Experimental results showed that it could improve the positional accuracy and linearity of the device and minimize hysteresis phenomena. The temperature of the device could be controlled by a pulse-width modulation signal from room temperature to 90 °C. Psychophysical experiments show that cognitive accuracy is affected by gain, and temperature is not significantly affected.

scholarly journals Multiclass emotion prediction using heart rate and virtual reality stimuli

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Aaron Frederick Bulagang ◽  
James Mountstephens ◽  
Jason Teo
Keyword(s):  
Heart Rate ◽  
Virtual Reality ◽  
Nearest Neighbor ◽  
Subject Classification ◽  
Support Vector ◽  
Display Device ◽  
K Nearest Neighbor ◽  
Potential Applications ◽  
Health Rehabilitation ◽  
Emotion Model

Abstract Background Emotion prediction is a method that recognizes the human emotion derived from the subject’s psychological data. The problem in question is the limited use of heart rate (HR) as the prediction feature through the use of common classifiers such as Support Vector Machine (SVM), K-Nearest Neighbor (KNN) and Random Forest (RF) in emotion prediction. This paper aims to investigate whether HR signals can be utilized to classify four-class emotions using the emotion model from Russell’s in a virtual reality (VR) environment using machine learning. Method An experiment was conducted using the Empatica E4 wristband to acquire the participant’s HR, a VR headset as the display device for participants to view the 360° emotional videos, and the Empatica E4 real-time application was used during the experiment to extract and process the participant's recorded heart rate. Findings For intra-subject classification, all three classifiers SVM, KNN, and RF achieved 100% as the highest accuracy while inter-subject classification achieved 46.7% for SVM, 42.9% for KNN and 43.3% for RF. Conclusion The results demonstrate the potential of SVM, KNN and RF classifiers to classify HR as a feature to be used in emotion prediction in four distinct emotion classes in a virtual reality environment. The potential applications include interactive gaming, affective entertainment, and VR health rehabilitation.

scholarly journals Identification of Words and Phrases Through a Phonemic-Based Haptic Display

2021 ◽  
Vol 18 (3) ◽  
pp. 1-22
Author(s):  
Charlotte M. Reed ◽  
Hong Z. Tan ◽  
Yang Jiao ◽  
Zachary D. Perez ◽  
E. Courtenay Wilson
Keyword(s):  
Speech Communication ◽  
Haptic Display ◽  
Communication Aids ◽  
Remote Communication ◽  
Computer Interfaces ◽  
Speech Reception ◽  
Communication Device ◽  
Human Computer Interfaces ◽  
Sensory Impairments ◽  
Effective Transmission

Stand-alone devices for tactile speech reception serve a need as communication aids for persons with profound sensory impairments as well as in applications such as human-computer interfaces and remote communication when the normal auditory and visual channels are compromised or overloaded. The current research is concerned with perceptual evaluations of a phoneme-based tactile speech communication device in which a unique tactile code was assigned to each of the 24 consonants and 15 vowels of English. The tactile phonemic display was conveyed through an array of 24 tactors that stimulated the dorsal and ventral surfaces of the forearm. Experiments examined the recognition of individual words as a function of the inter-phoneme interval (Study 1) and two-word phrases as a function of the inter-word interval (Study 2). Following an average training period of 4.3 hrs on phoneme and word recognition tasks, mean scores for the recognition of individual words in Study 1 ranged from 87.7% correct to 74.3% correct as the inter-phoneme interval decreased from 300 to 0 ms. In Study 2, following an average of 2.5 hours of training on the two-word phrase task, both words in the phrase were identified with an accuracy of 75% correct using an inter-word interval of 1 sec and an inter-phoneme interval of 150 ms. Effective transmission rates achieved on this task were estimated to be on the order of 30 to 35 words/min.

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