scholarly journals Mobile Phone-Based Audio Announcement Detection and Recognition for People with Hearing Impairment

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Yong Ruan ◽  
Yueliang Qian ◽  
Xiangdong Wang
Keyword(s):  
Mobile Phone ◽  
Hearing Impairment ◽  
Smart Phone ◽  
Error Rates ◽  
Svm Classifier ◽  
Acoustic Model ◽  
Mobile Phone Application ◽  
User Input ◽  
Finite State Transducer ◽  
Detection And Recognition

Automatic audio announcement systems are widely used in public places such as transportation vehicles and facilities, hospitals, and banks. However, these systems cannot be used by people with hearing impairment. That brings great inconvenience to their lives. In this paper, an approach of audio announcement detection and recognition for the hearing-impaired people based on the smart phone is proposed and a mobile phone application (app) is developed, taking the bank as a major applying scenario. Using the app, the users can sign up alerts for their numbers and then the system begins to detect audio announcements using the microphone on the smart phone. For each audio announcement detected, the speech within it is recognized and the text is displayed on the screen of the phone. When the number the user input is announced, alert will be given by vibration. For audio announcement detection, a method based on audio segment classification and postprocessing is proposed, which uses a SVM classifier trained on audio announcements and environment noise collected in banks. For announcement speech recognition, an ASR engine is developed using a GMM-HMM-based acoustic model and a finite state transducer (FST) based grammar. The acoustic model is trained on audio announcement speech collected in banks, and the grammar is human-defined according to the patterns used by the automatic audio announcement systems. Experimental results show that character error rates (CERs) around 5% can be achieved for the announcement speech, which shows feasibility of the proposed method and system.

scholarly journals A smart phone application for increasing fruit and vegetable knowledge and intakes: Development and inital testing

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Katherine Appleton ◽  
David Passmore ◽  
Isobel Burn ◽  
Hanna Pidgeon ◽  
Philippa Nation ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Pilot Trial ◽  
Smart Phone ◽  
Self Report ◽  
Final Version ◽  
Mobile Phone Application ◽  
Agile Approach ◽  
Fruit Drink ◽  
The Uk ◽  
Adult Volunteers

IntroductionPrevious work suggests low intakes of fruit and vegetables (FV) across the world, poor knowledge of the details of FV recommendations, and associations between the two. This work aimed to develop an interactive mobile phone application (app) to facilitate adherence to the UK 5-a-day FV recommendations, and reports on the findings and feedback from the first test of the prototype.Materials and MethodsRequirements for the app were first gained from previous research and potential end-users via four public engagement workshops, and prioritised using the MoSCoW method. A prototype app was then designed and developed using an agile approach. The prototype app was then tested in a randomized controlled pilot trial for impacts on FV knowledge and FV intake. Ninety-four adult volunteers were randomized to either receive (N = 50) or not receive the app (N = 44) for two or four weeks, and FV knowledge, self-report FV intakes, and FV behaviour (complimentary drink choice), were assessed at study start and study end. App use and feedback were also investigated.ResultsLow knowledge of the FV recommendations centred around portion sizes and the need for variety, and an interactive mobile phone app was considered a suitable tool for improving knowledge in a practical manner, that would be available both at time of consumption and outside of these times. Findings revealed improved FV behaviour in volunteers who received the app for two weeks at study end: 16 app users chose a fruit drink, compared to 4 app users who chose a non-fruit drink, where 4 control volunteers also chose a fruit drink and 6 control volunteers chose a non-fruit drink. App users also suggested increased FV intakes, but changes were small, and possibly masked in questionnaire measures. Improvements in FV knowledge (of approx. 10%) were also found, but with no differences between groups. App usage was low and feedback suggested a desire for reminder notifications and a wish to return to the input for a previous day due to forgetting. Increased awareness of low FV intakes was also offered as feedback.DiscussionOur prototype app was well received and of potential benefit. A final version of the app was subsequently developed incorporating the findings and feedback from the pilot test. Improvements in the final version of the app include a message to increase awareness of low intakes and an option to add notifications to increase use. Testing of the final app is now needed.

scholarly journals The Influence of Personality Traits on Mobile Phone Application Preferences

2012 ◽  
Vol 4 (5) ◽  
pp. 252-260 ◽  
Author(s):  
Wilburn Lane
Keyword(s):  
Mobile Phone ◽  
Personality Traits ◽  
Smart Phone ◽  
Big Five Personality ◽  
Application Development ◽  
Mobile Phone Application ◽  
Personality Research ◽  
Smartphone Technology ◽  
And Behavior ◽  
Smart Phone Application

Understanding mobile phone users' preferences and behavior is essential for the commercial success of new application development. This study aims to enhance this understanding by identifying the personality traits associated with smart phone application use. Multiple regressions were used to analyze results from a sample of 233 participants. Consistent with recent personality research, we found that the "Big Five" personality dimensions are related to the application of smartphone technology. Extroverted individuals reported greater importance on gaming applications, but they viewed productivity applications as less important. Also, neurotics placed greater importance on travel applications, while less conscientious people indicated that communication, productivity, and utilities applications were less important to them.

Mobile Phone Application for Supporting Persons with Higher Brain Dysfunctions

2010 ◽  
Vol 130 (3) ◽  
pp. 394-400
Author(s):  
Tsuyoshi Nakayama ◽  
Yuka Miyaji ◽  
Seishi Kato ◽  
Nobuhisa Sakurada ◽  
Noriyuki Ueda ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Mobile Phone Application

scholarly journals Phone-Based Restaurant Recommendation System by Using Position Information and Association Rules

2012 ◽  
Vol 6-7 ◽  
pp. 783-789
Author(s):  
Jian Feng Dong ◽  
Tian Yang Dong ◽  
Jia Jie Yao ◽  
Ling Zhang
Keyword(s):  
Mobile Phone ◽  
Real Time ◽  
Association Rules ◽  
Recommendation System ◽  
Rapid Development ◽  
Smart Phone ◽  
Smart Phones ◽  
Location Information ◽  
Position Information ◽  
The Real

With the rapid development of smart-phone applications, how to make the ordering process via smart-phones more convenient and intelligent has become a hotspot. This paper puts forward a method of restaurant dish recommendation relying on position information and association rules. In addition, this paper has designed and developed a restaurant recommendation system based on mobile phone. The system would fetch the real-time location information via smart-phones, and provide customers personalized restaurant and dish recommendation service. According to the related applications, this system can successfully recommend the related restaurants and food information to customers.

scholarly journals The Necessity of Mobile Phone Technologies for Public Health Surveillance in Benin

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Yaovi M. G. Hounmanou ◽  
Murielle S. S. Agonsanou ◽  
Victorien Dougnon ◽  
Mahougnon H. B. Vodougnon ◽  
Ephraim M. Achoh ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Real Time ◽  
Smart Phone ◽  
Cross Sectional Study ◽  
Health Surveillance ◽  
Medical Professionals ◽  
Surveillance Systems ◽  
Cross Sectional ◽  
The Public ◽  
Phone Calls

A cross-sectional study was conducted in March 2016 to assess the need of mobile phone technologies for health surveillance and interventions in Benin. Questionnaires were administered to 130 individuals comprising 25 medical professionals, 33 veterinarians, and 72 respondents from the public. All respondents possess cell phones and 75%, 84%, and 100% of the public, medical professionals, and veterinarians, respectively, generally use them for medical purposes. 75% of respondents including 68% of medics, 84.8% of veterinarians, and 72.2% of the public acknowledged that the current surveillance systems are ineffective and do not capture and share real-time information. More than 92% of the all respondents confirmed that mobile phones have the potential to improve health surveillance in the country. All respondents reported adhering to a nascent project of mobile phone-based health surveillance and confirmed that there is no existing similar approach in the country. The most preferred methods by all respondents for effective implementation of such platform are phone calls (96.92%) followed by SMS (49.23%) and smart phone digital forms (41.53%). This study revealed urgent needs of mobile phone technologies for health surveillance and interventions in Benin for real-time surveillance and efficient disease prevention.

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