An Evaluation of the Strengths, Weaknesses and Uses of Voice Input Devices

This paper examines the function of systems which are now available for voice input into computer memory. Strengths of present systems are discussed along with their weaknesses. Situations in which a voice data entry system is appropriate are explored as well as those system requirements which make voice input device systems feasible. One voice input device is tested in an industrial situation. The system is compared to two other methods of data entry on the basis of data entry time, total task time, and on error rate. The voice system shows longer entry time when compared with standard keyboarding but with higher accuracy. When the voice system is allowed to function to its potential by eliminating intermediate steps in the process, it is more efficient and more accurate. Tests conducted have shown that the maximum number of entries per minute over a very short duration (10 sec.) was about fifty-five. In an eight-minute sustained test, rates of about forty entries per minute were possible, but in long-term, the rate dropped to about 26 entries per minute. With proper coding and use on tasks where some components can be shortened or eliminated, the voice can be better than the keyboard.

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A Comparison of Computer Input Devices: Linus Pen, Mouse, Cursor Keys and Keyboard

Proceedings of the Human Factors Society Annual Meeting ◽

10.1177/154193128903300521 ◽

1989 ◽

Vol 33 (5) ◽

pp. 330-334 ◽

Cited By ~ 2

Author(s):

Karen Renee Mahach

Keyword(s):

Handwriting Recognition ◽

Data Entry ◽

Recognition System ◽

Input Device ◽

Input Devices ◽

Mouse Cursor ◽

Computer Input ◽

Computer Input Devices ◽

Speed And Accuracy ◽

Optical Mouse

Four input devices were compared in a data entry task by speed and accuracy scores. The input devices were: Linus pen (a handwriting recognition system), optical mouse, cursor keys, and alphabetic keys on a keyboard. Data entry consisted of twenty 5-letter words and 100 single letters. Two different screen designs (QWERTY and ALPHA) were used for the mouse and cursor keys conditions. Results showed the keyboard to be fastest and the cursor keys to be slowest in data entry. The mouse and Linus pen had comparable latency scores. Overall, five-letter words were entered faster than five single letters. Latency decreased over trials, and ALPHA conditions required more time than QWERTY conditions. The Linus pen was the least accurate input device. The cursor QWERTY condition produced the highest accuracy scores for letter entry while the keyboard produced the highest accuracy scores for word entry.

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Laboratory Voice Data Entry System

BioTechniques ◽

10.2144/99276bc02 ◽

1999 ◽

Vol 27 (6) ◽

pp. 1202-1208 ◽

Cited By ~ 1

Author(s):

Jeremy L. Praissman ◽

John C. Sutherland

Keyword(s):

Data Entry ◽

Data Entry System ◽

Voice Data

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An EMG Keyboard for Forearm Amputees

Applied Bionics and Biomechanics ◽

10.1155/2003/201864 ◽

2003 ◽

Vol 1 (1) ◽

pp. 33-43 ◽

Cited By ~ 1

Author(s):

Wenwei Yu ◽

Ryu Kato ◽

Fukuda Fabio ◽

Hiroshi Yokoi ◽

Yukinori Kakazu

Keyword(s):

Degrees Of Freedom ◽

High Efficiency ◽

Data Entry ◽

Huffman Coding ◽

Input Device ◽

Smoothing Algorithm ◽

Learning Method ◽

Input Devices ◽

Input Efficiency ◽

The Individual

A high-efficiency, easy-to-use input device is not only important for data entry but also for human-computer interaction. To date, there has been little research on input devices with many degrees of freedom (DOF) that can be used by the handicapped. This paper presents the development of an electromyography (EMG)-based input device for forearm amputees. To overcome the difficulties in analysing EMG and realising high DOF from biosignals, the following were integrated: (1) an online learning method to cope with nonlinearity and the individual difference of EMG signals; (2) a smoothing algorithm to deal with noisy recognition results and transition states; and (3) a modified Huffman coding algorithm to generate the optimal code, taking expected error and input efficiency into consideration. Experiments showed the validity of the system and the possibility for development of a quiet, free-posture (no postural restriction) input device with many DOF for users, including forearm amputees.

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Design a Chatbot for Chennai Corporation Using Logistic Regression Algorithm

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.b1260.0982s1119 ◽

2019 ◽

Vol 8 (2S11) ◽

pp. 2320-2323

Keyword(s):

Logistic Regression ◽

End User ◽

Text Data ◽

Data Set ◽

Voice Input ◽

The Public ◽

Logistic Regression Algorithm ◽

Voice Data ◽

Online Sources ◽

The Voice

Chatbots are the famous nowadays in business because of its service offered to the community at large. They provide support of 24*7 for business in terms of customercare, helpline, planning, analyzing and decision making. In this paper, a chatbot for Chennai corporation is proposed. This chatbot helps the citizens in providing the responses for their queries related to civic problems. There is no such system is available to handle the public grievances automatically. This system handles the public query and the relevant suggestion and responses will be given promptly. The chatbot receives the text or voice input and processed. The voice recognition module used to recognize the voice query and the voice to text convertor used to convert the voice data into text format. The matchmaking process used to match the input query with the available data set and the relevant responses is generated. If no match is for the query, the matchmaker will find the relevant response from online sources. The output channel equipped with the text to voice converter which converts the text data into voice and it will be delivered to the end user. The naïve bayers and logistic regression algorithm is implemented for classifying the query and the performance is compared. The result shows that the logistic regression algorithm outperform well with the precision and recall values.

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LABORATORY VOICE DATA ENTRY SYSTEM.

10.2172/15006728 ◽

2003 ◽

Author(s):

J.L.SUTHERLAND,J.C. PRAISSMAN

Keyword(s):

Data Entry ◽

Data Entry System ◽

Voice Data

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Voice Data Entry in NISTARS Warehouses

10.21236/ada260972 ◽

1993 ◽

Author(s):

James M. Stokes

Keyword(s):

Data Entry ◽

Voice Data

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Telemanipulation of an Articulated Robotic Arm using a Commercial Virtual Reality Controller

Current Directions in Biomedical Engineering ◽

10.1515/cdbme-2020-3033 ◽

2020 ◽

Vol 6 (3) ◽

pp. 127-130

Author(s):

Max B. Schäfer ◽

Kent W. Stewart ◽

Nico Lösch ◽

Peter P. Pott

Keyword(s):

Virtual Reality ◽

Real Time ◽

Robotic Arm ◽

Input Device ◽

Robot Assisted ◽

Promising Alternative ◽

Input Devices ◽

Current Input ◽

Current Systems ◽

Robot Assisted Surgery

AbstractAccess to systems for robot-assisted surgery is limited due to high costs. To enable widespread use, numerous issues have to be addressed to improve and/or simplify their components. Current systems commonly use universal linkage-based input devices, and only a few applicationoriented and specialized designs are used. A versatile virtual reality controller is proposed as an alternative input device for the control of a seven degree of freedom articulated robotic arm. The real-time capabilities of the setup, replicating a system for robot-assisted teleoperated surgery, are investigated to assess suitability. Image-based assessment showed a considerable system latency of 81.7 ± 27.7 ms. However, due to its versatility, the virtual reality controller is a promising alternative to current input devices for research around medical telemanipulation systems.

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The Absurd Injunction to Not Belong and the Bidūn in Kuwait

International Journal of Middle East Studies ◽

10.1017/s0020743820001014 ◽

2020 ◽

Vol 52 (4) ◽

pp. 726-732

Author(s):

Claire Beaugrand

Keyword(s):

Mobile Phone ◽

Legal Status ◽

Personal Data ◽

Male Voice ◽

Central System ◽

Additional Remark ◽

Special Mention ◽

The Voice ◽

Mobile Phone Camera

In a tweet posted on 29 March 2018, a bidūn activist—who was later jailed from July 2019 to January 2020 for peacefully protesting against the inhumane conditions under which the bidūn are living—shared a video. The brief video zooms in closely on an ID card, recognizable as one of those issued to the bidūn, or long-term residents of Kuwait who are in contention with the state regarding their legal status. More precisely, the mobile phone camera focuses on the back of the ID card, on one line with a special mention added by the Central System (al-jihāz al-markazī), the administration in charge of bidūn affairs. Other magnetic strip cards hide the personal data written above and below it. A male voice can be heard saying that he will read this additional remark, but before even doing so he bursts into laughter. The faceless voice goes on to read out the label in an unrestrained laugh: “ladayh qarīb … ladayh qarīna … dālla ʿalā al-jinsiyya al-ʿIrāqiyya” (he has a relative … who has presumptive evidence … suggesting an Iraqi nationality). The video shakes as the result of a contagious laugh that grows in intensity. In the Kuwaiti dialect, the voice continues commenting: “Uqsim bil-Allāh, gaʿadt sāʿa ufakkir shinū maʿanāt hal-ḥatchī” (I swear by God, it took me an hour to figure out the meaning of this nonsense), before reading the sentence again, stopping and guffawing, and asking if he should “repeat it a third time,” expressing amazement at its absurdity. The tweet, addressed to the head of the Central System (mentioned in the hashtag #faḍīḥat Sāliḥ al-Faḍāla, or #scandal Salih al-Fadala), reads: In lam tastaḥī fa-'ktub mā shaʾt (Don't bother, write what you want).

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Periprosthetic Leakage in Tracheoesophageal Prosthesis: Proposal of a Standardized Therapeutic Algorithm

Otolaryngology ◽

10.1177/0194599820983343 ◽

2021 ◽

pp. 019459982098334

Author(s):

Claudio Parrilla ◽

Ylenia Longobardi ◽

Jacopo Galli ◽

Mario Rigante ◽

Gaetano Paludetti ◽

...

Keyword(s):

Total Laryngectomy ◽

Retrospective Cohort ◽

Voice Prosthesis ◽

Management Algorithm ◽

Therapeutic Algorithm ◽

Periprosthetic Leakage ◽

Tracheoesophageal Puncture ◽

The University ◽

The Voice

Objective Periprosthetic leakage represents the most demanding long-term complication in the voice prosthesis rehabilitation. The aim of this article is to discuss the various causes of periprosthetic leakage and to propose a systematic management algorithm. Study Design Retrospective cohort study. Setting Otolaryngology clinic of the University Polyclinic A. Gemelli–IRCCS Foundation. Methods The study included 115 patients with voice prosthesis who were treated from December 2014 to December 2019. All patients who experienced periprosthetic leakage were treated with the same step-by-step therapeutic approach until it was successful. Incidence, management, and success rate of every attempt are analyzed and discussed. Results Periprosthetic leakage was reported 330 times by 82 patients in 1374 clinic accesses. Radiotherapy, timing of tracheoesophageal puncture, and type of total laryngectomy (primary or salvage) did not influence the incidence of periprosthetic leakage. Salvage total laryngectomy increases the risk of more clinically relevant leakages. Conclusion By using a systematic algorithm with a step-by-step standardized approach, periprosthetic leakage management could become a less treacherous issue.

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