scholarly journals Speech Recorder and Translator using Google Cloud Speech-to-Text and Translation

2021 ◽  
Vol 9 (1) ◽  
pp. 11-28
Author(s):  
Hui Hui Wang
Keyword(s):  
Speech Recognition ◽  
Mobile Application ◽  
Web Application ◽  
General Concept ◽  
Mobile App ◽  
Background Music ◽  
Future Research ◽  
Video Content ◽  
Voice Input ◽  
Translation Accuracy

The most popular video website YouTube has about 2 billion users worldwide who speak and understand different languages. Subtitles are essential for the users to get the message from the video. However, not all video owners provide subtitles for their videos. It causes the potential audiences to have difficulties in understanding the video content. Thus, this study proposed a speech recorder and translator to solve this problem. The general concept of this study was to combine Automatic Speech Recognition (ASR) and translation technologies to recognize the video content and translate it into other languages. This paper compared and discussed three different ASR technologies. They are Google Cloud Speech-to-Text, Limecraft Transcriber, and VoxSigma. Finally, the proposed system used Google Cloud Speech-to-Text because it supports more languages than Limecraft Transcriber and VoxSigma. Besides, it was more flexible to use with Google Cloud Translation. This paper also consisted of a questionnaire about the crucial features of the speech recorder and translator. There was a total of 19 university students participated in the questionnaire. Most of the respondents stated that high translation accuracy is vital for the proposed system. This paper also discussed a related work of speech recorder and translator. It was a study that compared speech recognition between ordinary voice and speech impaired voice. It used a mobile application to record acoustic voice input. Compared to the existing mobile App, this project proposed a web application. It was a different and new study, especially in terms of development and user experience. Finally, this project developed the proposed system successfully. The results showed that Google Cloud Speech-to-Text and Translation were reliable to use in video translation. However, it could not recognize the speech when the background music was too loud. Besides, it had a problem of direct translation, which was challenging. Thus, future research may need a custom trained model. In conclusion, the proposed system in this project was to contribute a new idea of a web application to solve the language barrier on the video watching platform.

scholarly journals The Development of an Educational Outdoor Adventure Mobile App

2020 ◽  
Vol 10 (12) ◽  
pp. 382
Author(s):  
Vyron Ignatios Michalakis ◽  
Michail Vaitis ◽  
Aikaterini Klonari
Keyword(s):  
Case Studies ◽  
Mobile Application ◽  
Web Application ◽  
Student Evaluation ◽  
Mobile App ◽  
Negative Consequences ◽  
Ict Literacy ◽  
Outdoor Adventure ◽  
Effective Learning ◽  
Smartphone Use

This article focuses on the development of an educational outdoor adventure mobile app while presenting findings that were derived from various case studies that we conducted using it. The mobile application, called RouteQuizer, is complemented by a web application and a database, forming a system that enables teachers to create educational treasure hunt activities for their students and monitor their performance. The aim of the research was to create a system that would exploit all possible Outdoor Adventure Education (OAE) and treasure hunt benefits while excluding possible smartphone use negative consequences. The development of the system took place in Greece and began in December 2017, by conducting a nation-wide research examining Greek secondary teachers’ Information and Communication Technology (ICT) literacy and perceptions on smartphone use and outdoor activities. By June 2018, 700 questionnaires were collected. In order to test the system, in March 2018, we conducted a pilot case study in Lesvos island Greece and between July 2018 and February 2020, we conducted four additional case studies and a teacher training program, all of which took place in Lesvos island Greece. During the development process of the mobile application, we focused on the participatory aspect of the process, paying special attention to the teacher and student evaluation during the design and prototyping phases. Considering that the system is educational we research whether the mobile application provided effective learning outcomes and whether it benefited students’ social and physical skills. The results that we collected suggest that the mobile application is an effective learning tool while mobile learning and treasure hunt benefits have been repeatedly confirmed during the case studies. Greek teachers and students also proved to be capable smartphone and computer users, and reported being willing to participate in similar activities in the future.

scholarly journals Rancang Bangun Client-Side Mobile Web App Menggunakan JQuery Mobile

2013 ◽  
Vol 4 (2) ◽  
pp. 69-73
Author(s):  
Seng Hansun
Keyword(s):  
Operating System ◽  
Mobile Application ◽  
Web Application ◽  
Mobile App ◽  
Simple Application ◽  
Changing Environment ◽  
Mobile Web ◽  
Market Shares ◽  
Web App ◽  
Client Side

Mobile operating system market shares always grow from year to year. The issue to make a mobile application in an easy, fast, and reliable way had arisen. Therefore, many UI framework to create mobile web application have been introduced, one of them is jQuery Mobile. jQuery Mobile with its’ ‘write less, do more’ slogan become popular among web mobile developers. In this paper, the author tries to build a stand-alone mobile application using jQuery Mobile as a prototype of Universitas Multimedia Nusantara mobile application. It can be concluded that jQuery Mobile can be used to make a simple application in a fast and rapid changing environment. Kata kunci—jQuery Mobile, web mobile app, HTML, CSS, JavaScript

scholarly journals POS1471-HPR EVALUATION OF THE EFFECTIVENESS OF MOBILE APP-BASED EXERCISES PROGRAMME IN PATIENTS WITH NECK PAIN: THE RANDOMIZED CONTROLLED TRIAL

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1021.1-1021
Author(s):  
L. Beyaztaş ◽  
E. Tonga
Keyword(s):  
Neck Pain ◽  
Effect Size ◽  
Mobile Application ◽  
Exercise Program ◽  
Exercise Adherence ◽  
Chronic Neck Pain ◽  
Mobile App ◽  
Post Exercise ◽  
Spinal Stabilization ◽  
Postural Correction

Background:Mobile health applications are frequently used to increase exercise adherence in patients with musculoskeletal problems. However, the usability of these health mobile applications mostly has not been proven. In our previous study, the usability of the mobile app, which includes postural correction and neck spinal stabilization exercises, has been proven. (M.U-NeckExercise application)Objectives:The aim of this study is to evaluate the effectiveness of the mobile application-based home exercise program for patients with chronic neck pain.Methods:60 people with chronic neck pain were participated in the our study. They were randomized into two groups. The first group (n:30) received home exercises via the novel mobile app, and the second group (n:30) received the same home exercises via the brochure. The exercise program consisted of neck and thoracic postural correction and neck spinal stabilization exercises. Participants has been requested to do the exercises 3 days in a week for 6 weeks. Participants’ pain levels were assessed by using the Visual Analogue Scale (VAS), their neck-related functional limitations were evaluated by Neck Pain and Disability Index (BADI). Exercise adherence was meausered with a ratio of total participated sessions compared with the target defined by patient activation monitor and exercise adherance questionnaire. Targeted participation were %60 of total sessions.Results:In both groups, the improvement in VAS and BADI scores was statistically significant (p<0.05). It was found that the pain parameters of VAS score decreased statistically more in the mobile application-based exercise group (p<0.05). While there was no statistically significant difference between the groups in the BADI score, the effect size results was higher in the mobile app group (effect size= 0.411). Our exercise commitment target in the mobile app group was an average of 10.5 sessions. The target session number has been reached 11.25 sessions.Conclusion:It has been observed that the mobile application-based exercise program is effective in reducing pain and increasing exercise adherence in people with chronic neck pain. The findings support M.U-NeckExercise-App could be recommended to health professionals for exercise prescription in patients with cronic neck pain.References:[1]Tonga E, Can M, Polat MG (2019). ”SAT0730-HPR development and design of smartphone application for postural alignment of cervical and thoracic spine for young adults.” Annals of the Rheumatic Diseases, 78,2.[2]Voth, E. C., Oelke, N. D., & Jung, M. E. (2016). A theory-based exercise app to enhance exercise adherence: a pilot study. JMIR mHealth and uHealth, 4(2), e62.VariableGroupX±SSzpPost-Exercise VAS Value (0-10 cm)Mobile app2,90±2,04-3,272**0,001Brochure4,63±1,69Post-Exercise BADI ValueMobile app38,86±12,380,0310,861Brochure32,23±12,35Disclosure of Interests:None declared

scholarly journals Mobile application to optimize care for STEMI patients in a large healthcare system, STEMIcathAID. Rationale and design

2021 ◽  
Author(s):  
Parasuram Krishnamoorthy ◽  
Andriy Vengrenyuk ◽  
Brian Wasielewski ◽  
Nitin Barman ◽  
Jeffrey Bander ◽  
...  
Keyword(s):  
Healthcare System ◽  
Mobile Application ◽  
Performance Metrics ◽  
Clinical Status ◽  
Coronary Intervention ◽  
Mobile App ◽  
Gps Tracking ◽  
St Segment Elevation ◽  
Catheterization Laboratory ◽  
Cardiac Catheterization Laboratory

Abstract Technological advancements have transformed healthcare. System delays in transferring patients with ST- segment elevation myocardial infarction (STEMI) to a primary percutaneous coronary intervention (PCI) center are associated with worse clinical outcomes. Our aim was to design and develop a secure mobile application, STEMIcathAID, streamlining communication and coordination between the STEMI care teams to reduce ischemia time and improve patient outcomes. The app was designed for transfer of patients with STEMI to a cardiac catheterization laboratory (CCL) from an emergency department (ED) of either a PCI capable or a non-PCI capable hospital. When a suspected STEMI arrives to a non-PCI hospital ED, the ED physician uploads the EKG and relevant patient information. An instant notification is simultaneously sent to the on-call CCL attending and transfer center. The attending reviews the information, makes a video call and decides to either accept or reject the transfer. If accepted, on-call CCL team members receive an immediate push notification and begin communicating with the ED team via a HIPPA compliant chat. The app provides live GPS tracking of the ambulance and frequent clinical status updates of the patient. In addition, it allows for screening of STEMI patients in cardiogenic shock. Prior to discharge important data elements have to be entered to close the case. In conclusion, we developed a novel mobile app to optimize care for STEMI patients and facilitate electronic extraction of relevant performance metrics to improve allocation of resources and reduction of costs.

scholarly journals End-to-end recognition of streaming Japanese speech using CTC and local attention

2020 ◽  
Vol 9 ◽  
Author(s):  
Jiahao Chen ◽  
Ryota Nishimura ◽  
Norihide Kitaoka
Keyword(s):  
Speech Recognition ◽  
Recognition Performance ◽  
Time Lag ◽  
Recognition Algorithm ◽  
Streaming Data ◽  
Continuous Speech Recognition ◽  
Voice Input ◽  
Sequence Modeling ◽  
End To End ◽  
Bidirectional Networks

Many end-to-end, large vocabulary, continuous speech recognition systems are now able to achieve better speech recognition performance than conventional systems. Most of these approaches are based on bidirectional networks and sequence-to-sequence modeling however, so automatic speech recognition (ASR) systems using such techniques need to wait for an entire segment of voice input to be entered before they can begin processing the data, resulting in a lengthy time-lag, which can be a serious drawback in some applications. An obvious solution to this problem is to develop a speech recognition algorithm capable of processing streaming data. Therefore, in this paper we explore the possibility of a streaming, online, ASR system for Japanese using a model based on unidirectional LSTMs trained using connectionist temporal classification (CTC) criteria, with local attention. Such an approach has not been well investigated for use with Japanese, as most Japanese-language ASR systems employ bidirectional networks. The best result for our proposed system during experimental evaluation was a character error rate of 9.87%.

Predicting Uptake of the COVID Coach App Among U.S. Military Veterans: A Funnel Analysis Using a Probability-Based Panel (Preprint)

2022 ◽  
Author(s):  
Beth K Jaworski ◽  
Katherine Taylor ◽  
Kelly M Ramsey ◽  
Adrienne J Heinz ◽  
Sarah Steinmetz ◽  
...  
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Mobile Apps ◽  
Military Veterans ◽  
Total Sample ◽  
Mobile App ◽  
Future Research ◽  
Nationally Representative ◽  
Managing Stress ◽  
Usage Data

BACKGROUND Although the pandemic has not led to a uniform increase of mental health concerns among older adults, there is evidence to suggest that some older veterans did experience an exacerbation of pre-existing mental health conditions, and that mental health difficulties were associated with a lack of social support and increasing numbers of pandemic-related stressors. Mobile mental health apps are scalable, may be a helpful resource for managing stress during the pandemic and beyond, and could potentially provide services that are not accessible due to the pandemic. However, overall comfort with mobile devices and factors influencing the uptake and usage of mobile apps during the pandemic among older veterans are not well known. COVID Coach is a free, evidence-informed mobile app designed for pandemic-related stress. Public usage data have been evaluated, but its uptake and usage among older veterans has not been explored. OBJECTIVE The purpose of the current study was to characterize smartphone ownership rates among U.S. veterans, identify veteran characteristics associated with downloading and use of COVID Coach, and characterize key content usage within the app. METHODS Data were analyzed from the 2019-2020 National Health and Resilience in Veterans Study (NHRVS), which surveyed a nationally representative, prospective cohort of 3,078 U.S. military veterans before and one year into the pandemic. The NHRVS sample was drawn from KnowledgePanel®, a research panel of more than 50,000 households maintained by Ipsos, Inc. Median time to complete the survey was nearly 32 minutes. The research version of COVID Coach was offered to all veterans who completed the peri-pandemic follow-up assessment on a mobile device (n = 814; weighted 34.2% of total sample). App usage data from all respondents who downloaded the app (n = 34; weighted 3.3% of the mobile completers sample) were collected between November 14, 2020 and November 7, 2021. RESULTS We found that most U.S. veterans own smartphones and veterans with higher education, greater number of adverse childhood experiences, higher extraversion, and greater severity of pandemic-related PTSD symptoms were more likely to download COVID Coach. Although uptake and usage of COVID Coach was relatively low (3.3% of eligible participants, n = 34), 50% of the participants returned to the app for more than one day of use. The interactive tools for managing stress were used most frequently. CONCLUSIONS Although the coronavirus pandemic has increased the need for and creation of digital mental health tools, these resources may require tailoring for older veteran populations. Future research is needed to better understand how to optimize digital mental health tools, such as apps, to ensure uptake and usage among older adults, particularly those who have experienced traumas across the lifespan.

Impact of RapidAI mobile application on treatment times in patients with large vessel occlusion

2021 ◽  
pp. neurintsurg-2021-017365
Author(s):  
Mais Al-Kawaz ◽  
Christopher Primiani ◽  
Victor Urrutia ◽  
Ferdinand Hui
Keyword(s):  
Mobile Application ◽  
Secondary Analysis ◽  
Multiple Linear Regression Model ◽  
Stroke Care ◽  
Mobile App ◽  
Large Vessel ◽  
Vessel Occlusion ◽  
Comprehensive Stroke Center ◽  
Stroke Center ◽  
Adjusted Model

BackgroundCurrent efforts to reduce door to groin puncture time (DGPT) aim to optimize clinical outcomes in stroke patients with large vessel occlusions (LVOs). The RapidAI mobile application (Rapid Mobile App) provides quick access to perfusion and vessel imaging in patients with LVOs. We hypothesize that utilization of RapidAI mobile application can significantly reduce treatment times in stroke care by accelerating the process of mobilizing stroke clinicians and interventionalists.MethodsWe analyzed patients presenting with LVOs between June 2019 and October 2020. Thirty-one patients were treated between June 2019 and March 2020 (pre-app group). Thirty-three patients presented between March 2020 and October 2020 (post-app group). Mann–Whitney U test and Kruskal–Wallis tests were used to examine variables that are not normally distributed. In a secondary analysis we analyzed interhospital time metrics between primary stroke centers and our comprehensive stroke center.ResultsBaseline demographic and vascular risk factors were similar in both groups. Use of Rapid Mobile App resulted in 33 min reduction in DGPT (P=0.02), 35 min reduction in door to first pass time (P=0.02), and 37 min reduction in door to recanalization time (P=0.02) in univariate analyses when compared with patients treated pre-app. In a multiple linear regression model, utilization of Rapid Mobile App significantly predicted shorter DGPT (P=0.002). In an adjusted model, National Institutes of Health Stroke Scale (NIHSS) 24 hours after procedure and at discharge were significantly lower in the post-app group (P=0.03). Time of transfer between primary and comprehensive stroke center was comparable in both groups (P=0.26).ConclusionIn patients with LVOs, the implementation of the RapidAI mobile application was independently associated with reductions in intrahospital treatment times.

Abstract 213: Secondary CPR Training via Mobile Application Compared to Video Self Instruction Kit

Circulation ◽  
2018 ◽  
Vol 138 (Suppl_2) ◽  
Author(s):  
Andrew Murray ◽  
Shaun McGovern ◽  
Marion Leary ◽  
Benjamin Abella ◽  
Audrey L Blewer
Keyword(s):  
Mobile Application ◽  
Mobile App ◽  
Training Material ◽  
Health Apps ◽  
Training Materials ◽  
Public Health Information ◽  
Self Instruction ◽  
Cpr Training ◽  
Number Of Individuals ◽  
Hospital Cardiac Arrest

Introduction: Hands-only CPR training via a video self-instruction (VSI) kit (DVD & manikin) or a mobile application (app, video-only) allows trainees to share the training materials with others (“secondary training”). This secondary training can amplify the number of individuals trained in CPR, thus increasing the chances of bystander intervention in an out-of-hospital cardiac arrest. Health apps are an emerging tool through which public health information and education can be disseminated. No study has examined whether laypersons trained in CPR via an app share the training as frequently as those trained via VSI. Hypothesis: We hypothesized that laypersons trained via mobile app will share the training material more than those trained with VSI. Methods: This work represents a sub-investigation of an in-hospital CPR training study for families of cardiac patients. Subjects were trained with either a VSI kit or a mobile app and completed an interview 6-month post-training that measured whether training materials were shared and with how many others they were shared. Multivariate logistic regression was performed controlling for age, race and level of education to determine the likelihood that an individual shared the training. Results: Of 697 participants who completed the interview between 6/2016-5/2018, 281 stated they shared the training with at least 1 person (VSI n=213/356, App n=68/341). Subjects who received VSI training were more likely to share than those trained with the app (OR: 7.16, 95% CI: 4.91-10.43, p<0.01). Subjects trained with VSI had an average multiplier rate of 2.27 ±4.13 versus 0.56 ±1.66 (p<0.01) for those trained with the app. Subject-level analysis revealed that increased age is associated with decreased likelihood that an individual shared the training in both training arms (App OR: 0.98, 95% CI: 0.96-0.99, VSI OR: 0.98, 95% CI: 0.97-0.99). Conclusion: Subjects in the app arm were less likely to share CPR training. While it has been widely assumed that app-based solutions may afford unique dissemination opportunities, these results suggest the most effective solution to increasing hands-only CPR training may lie in kit-based options currently available. Further work is needed to determine why app-based training is shared less.

Success Factors of Social Media Applications (SMA): Case Study among UUM Students

2021 ◽  
Vol 12 (3) ◽  
pp. 2733-2745
Author(s):  
Mazlan Mohd Sappri Et.al
Keyword(s):  
Social Media ◽  
Service Quality ◽  
User Satisfaction ◽  
Mobile Application ◽  
Information Quality ◽  
Success Factors ◽  
Reference Model ◽  
Mobile App ◽  
Media Applications

Social media application (SMA) shows several important functions that causing theincrement of usage among mobile application or mobile app users, especially among18 to 28 years-old users. This causing several developers to create their own SMA thathave been targeted to mobile app users. However, only several SMA managed tobecome popular and successful in term of usage, leaving other unpopular SMA in thelower rank of the Google PlayStore. SMA created by developer in Malaysia face thesame situation as mentioned before where those SMA were supposed to attractMalaysian mobile users more. To assess this situation, this study aims to identify thesuccess factors of SMA usage and develop a set of metric based on the success factorsusing research model that have been developed in the past. Information SystemSuccess Model (ISSM) were studied and chosen as the reference model for this studybecause the model is suitable and have been used by other researchers in studiesregarding social media and SMA. ISSM contains several success factors like systemquality, service quality and information quality that affect the user satisfaction and useof a system, where this model were modified in this study with the addition ofnetworking quality and perceive privacy factors. This study were conducted on 380Universiti Utara Malaysia (UUM) students and after analysing the data collected, allproposed success factors except of service quality were found to have a positive impacttowards user satisfaction and usage. The success factors were included in the metricdesign and the metric were presented in an evaluation form for SMA developer inMalaysia to evaluate and applied the metric in their SMA.

Opportunities for improving how and when Canadians are informed about new prescription medications

2020 ◽  
pp. 427-447
Keyword(s):  
Lived Experiences ◽  
Mobile Application ◽  
Future Research ◽  
Prescription Medications ◽  
Structured Interviews ◽  
Risks And Benefits ◽  
Medication Information ◽  
First Time ◽  
To Receive ◽  
Larger Sample

The Canadian prescription process requires a person to go through several steps. Prescription medications have associated risks and benefits and it is important for people to be aware of these before and while they are taking medications. One of the approaches to informing people about new prescription medications is that they are provided Consumer Medication Information (CMI). CMI is given to Canadians at the pharmacy when they pick up prescriptions, they will be taking for the first time. This study used semi-structured interviews to examine the lived experiences of a sample of Canadians (N = 36) to identify opportunities for improvement in how and when they are informed about new prescription medications. The findings were synthesized into a journey map. Generally, participants wanted to receive CMI digitally and earlier in the prescription process. Adopting these changes could have several benefits which include loss prevention and increased accessibility to CMI as well as more participatory decision making and opportunities to ask questions. Future research is warranted to explore similar topics with a larger sample and determine what method (e.g., email, website, mobile application) would be most suitable.

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