Evaluation of Input/Output Interface using Wrinkles on Clothes

2020 ◽  
Vol 1 (1) ◽  
pp. 36-54
Author(s):  
Kentaro Ueda ◽  
Tsutomu Terada ◽  
Masahiko Tsukamoto
Keyword(s):  
Wearable Computing ◽  
Input Interface ◽  
Input Method ◽  
Output Device ◽  
Touch Input ◽  
Operation Speed ◽  
Operating Environments ◽  
Tactile Sensations ◽  
Speed And Accuracy ◽  
Output Interface

Wearable computing has created textile-based interfaces utilizing the interaction between the user and cloth for operation, as well as the touch and the pinch input operation. The user wears and uses the device in various postures, environments, and operating positions that affect the operation speed and accuracy. However, no study has assessed such factors of touching and pinching using the same input interface. One of the textile interfaces has an input interface using wrinkles on clothes. A ridge of cloth produces a wrinkle that forms naturally on clothes, and the shape of these wrinkles can be recognized by their tactile sensations. Additionally, the act touching or pinching wrinkles does not look strange to an onlooker, which reach that wrinkles have the potential suitable for the wearable computing operation. To reveal the potential, this paper evaluates the input performance using wrinkles on clothes. We designed three touch input methods and one pinch input method for the operation using wrinkles. We implemented the input and the output device which use wrinkles and carried out four evaluations. The results indicated that the pinch input reached the highest accuracy of 98\% of four input methods after learning. The narrowing-down selection reached the fastest input time of 1.64 seconds of four methods after learning. The long press touch and the pinch input achieved the accuracy of 90\% or more in all combination of operating environments and device positions. According to the result of the wrinkle recognition, users have a high accuracy of the identification of wrinkles of 89.4\% and recognize their shape in approximately 12 seconds.

Design of Mutual Interaction Between a User and Smart Electric Wheelchair

2012 ◽  
Vol 16 (2) ◽  
pp. 305-312 ◽  
Author(s):  
Mihoko Niitsuma ◽  
◽  
Terumichi Ochi ◽  
Masahiro Yamaguchi ◽  
Koki Iwamot
Keyword(s):  
Pressure Sensors ◽  
Mobile Robot Navigation ◽  
Autonomous Mobile Robot ◽  
Personal Mobility ◽  
Electric Wheelchair ◽  
Input Method ◽  
Robot Behavior ◽  
Informative Communication ◽  
Environmental Map ◽  
Output Interface

This paper presents interaction between a user and a smart electric wheelchair. We propose a personal mobility tool (PMT) that integrates autonomous mobile robot navigation technology with intuitive and cognitive interaction between a user and a smart wheelchair. An intuitive and noncontinuous input method is proposed to enable a user to specify the direction in which the wheelchair is to go. Using an acceleration sensor and pressure sensors, the user gives a direction to the PMT, then the PMT determines the goal on an environmental map based on the direction. An output interface is used to help the user interpret robot behavior through informative communication between the user and the PMT. In this paper, a vibrotactile seat interface is presented.

A Scheme of H.264 HD Encoding/Transcoding System Based on ASIC

2011 ◽  
Vol 58-60 ◽  
pp. 1354-1358 ◽  
Author(s):  
Ming Kui Zheng ◽  
Kai Xiong Su ◽  
Xiu Zhi Yang
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Digital Tv ◽  
High Definition ◽  
Control Module ◽  
Input Interface ◽  
Front End ◽  
Application Specific ◽  
Output Interface ◽  
Ethernet Interface

This paper proposes a scheme of H.264 high-definition encoder/transcoder . The system is based on ASIC. Application-specific high-definition encoding/transcoding chip, software control module, HDMI interface, analog video/audio input interface and ASI input/output interface ,etc. are discussed in detail in this paper. The system also provides the Ethernet interface, which is used for real-time monitoring of coding/transcoding system . The proposed scheme with the property of good real-time and low cost accord with the need of high-definition digital TV front-end system.

scholarly journals 2B3-4　Experimental Study on Input Method for Eye Gaze Input Interface

2013 ◽  
Vol 49 (Supplement) ◽  
pp. S298-S299
Author(s):  
Sou Yamamoto ◽  
Daiji Kobayashi
Keyword(s):  
Experimental Study ◽  
Eye Gaze ◽  
Input Interface ◽  
Input Method

scholarly journals Integral Image Tube-Optical Systems for the Far UV

1971 ◽  
Vol 41 ◽  
pp. 363-365
Author(s):  
Guido Chincarini
Keyword(s):  
Optical Systems ◽  
Integral Image ◽  
Image Tube ◽  
Good Compromise ◽  
Operation Speed ◽  
Speed And Accuracy

An important feature of observations made outside the atmosphere from manned or unmanned spacecrafts is the reliability and ease of operation, speed and accuracy in the collection of data. A good compromise including the above features is the development of image tube techniques in skilfully matching optics and electronics.

Mobile Phone Input Method Interface Evaluation Based on GOMS Prediction Model

2011 ◽  
Vol 230-232 ◽  
pp. 512-516
Author(s):  
Wei Liu ◽  
Sheng Li ◽  
Tao Wen ◽  
Xian Gang Qin
Keyword(s):  
Prediction Model ◽  
Mobile Phone ◽  
Product Design ◽  
User Behavior ◽  
Behavior Model ◽  
User Centered Design ◽  
Paired Sample ◽  
Input Interface ◽  
Input Method ◽  
User Friendly

User-centered design plays a significant part in product design. GOMS user behavior model analyze the interface from the aspects of both users and objects, which helps the designers to create a user-friendly interface in an efficient way. In this paper, GOMS model was used to predict the efficiency of the two versions of input interface on a touch-screen mobile phone. In addition, the experiment was conducted to collect the data under the real scenarios, and paired-sample T test was employed to analyze the data. The results indicate the GOMS prediction model can be used to evaluate the efficiency of the mobile phone interface.

scholarly journals Gate Attentional Factorization Machines: An Efficient Neural Network Considering Both Accuracy and Speed

2021 ◽  
Vol 11 (20) ◽  
pp. 9546
Author(s):  
Huaidong Yu ◽  
Jian Yin ◽  
Yan Li
Keyword(s):  
Neural Network ◽  
Prediction Accuracy ◽  
Recommendation System ◽  
Data Sets ◽  
Urgent Problem ◽  
Network Layers ◽  
Operation Speed ◽  
Factorization Machine ◽  
Speed And Accuracy ◽  
Better Than

Nowadays, to deal with the increasing data of users and items and better mine the potential relationship between the data, the model used by the recommendation system has become more and more complex. In this case, how to ensure the prediction accuracy and operation speed of the recommendation system has become an urgent problem. Deep neural network is a good solution to the problem of accuracy, we can use more network layers, more advanced feature cross way to improve the utilization of data. However, when the accuracy is guaranteed, little attention is paid to the speed problem. We can only pursue better machine efficiency, and we do not pay enough attention to the speed efficiency of the model itself. Some models with advantages in speed, such as PNN, are slightly inferior in accuracy. In this paper, the Gate Attention Factorization Machine (GAFM) model based on the double factors of accuracy and speed is proposed, and the structure of gate is used to control the speed and accuracy. Extensive experiments have been conducted on data sets in various application scenarios, and the results show that the GAFM model is better than the existing factorization machines in both speed and accuracy.

scholarly journals Input Interface Using Wrinkles on Clothes for Wearable Computing

2019 ◽  
Vol 27 (0) ◽  
pp. 96-105 ◽  
Author(s):  
Kentaro Ueda ◽  
Tsutomu Terada ◽  
Masahiko Tsukamoto
Keyword(s):  
Wearable Computing ◽  
Input Interface

Improving Stroke-Based Input of Chinese Characters

2008 ◽  
pp. 426-445
Author(s):  
Min Lin ◽  
Andrew Sears ◽  
Steven Herbst ◽  
Yanfang Liu
Keyword(s):  
Mobile Phones ◽  
Usability Testing ◽  
Chinese Characters ◽  
Problem Identification ◽  
Input Method ◽  
Study Results ◽  
Concept Evaluation ◽  
Entry Speed ◽  
Speed And Accuracy

This chapter presents a case study of the redesign of the mobile phone keypad graphics that support the Motorola iTap™ stroke-based Chinese input solution. Six studies were conducted to address problem identification, proof of concept evaluation, usability testing in both US and China, and design simplification to support business objectives. Study results confirmed that a new abstract-with-examples design helped users to develop more accurate knowledge regarding stroke-to-key mappings and lead to significant improvements in both text-entry speed and accuracy. The data also showed that, when using the new keypad graphics, the stroke-based input method could outperform the popular Pinyin technique after about 1 hour of casual usage, making the stroke method a competitive alternative for Chinese entry on mobile phones.

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