Mobile Application with Cloud-Based Computer Vision Capability for University Students’ Library Services

2020 ◽  
pp. 3-15
Author(s):  
Joe Llerena-Izquierdo ◽  
Fernando Procel-Jupiter ◽  
Alison Cunalema-Arana
Keyword(s):  
Computer Vision ◽  
University Students ◽  
Mobile Application ◽  
Library Services

Computer Vision Approach for Indoor Location Recognition Within an Augmented Reality Mobile Application

2019 ◽  
pp. 45-53
Author(s):  
Gabriele Minneci ◽  
Alice Schweigkofler ◽  
Carmen Marcher ◽  
Gabriele Pasetti Monizza ◽  
Tammam Tillo ◽  
...  
Keyword(s):  
Computer Vision ◽  
Augmented Reality ◽  
Mobile Application ◽  
Location Recognition ◽  
Indoor Location

OpenCV Basics: A Mobile Application to Support the Teaching of Computer Vision Concepts

2020 ◽  
Vol 63 (4) ◽  
pp. 328-335
Author(s):  
Jose Sigut ◽  
Miguel Castro ◽  
Rafael Arnay ◽  
Marta Sigut
Keyword(s):  
Computer Vision ◽  
Mobile Application

scholarly journals Evaluation of a mobile application for estimation of food intake

2017 ◽  
Vol 30 (1) ◽  
pp. 91-98 ◽  
Author(s):  
Samantha Bittencourt MESCOLOTO ◽  
Simone CAIVANO ◽  
Semíramis Martins Álvares DOMENE
Keyword(s):  
Food Intake ◽  
University Students ◽  
Diet Quality ◽  
Mobile Application ◽  
Quality Index ◽  
Sao Paulo ◽  
São Paulo ◽  
Strong Correlations ◽  
Dietary Recall ◽  
Diet Quality Index

ABSTRACT Objective: Evaluate the use of the Nutrabem (São Paulo, Brasil) mobile application as a tool for measurement of food intake among university students. Methods: Cross-sectional study of a random sample of 40 undergraduate students at the Universidade Federal de São Paulo, Campus Baixada Santista. Food intake data were estimated using the Nutrabem app and the 24-hour dietary recall. Intakes of energy, carbohydrates, proteins, lipids, calcium, iron, and vitamin C were calculated. The intake of food groups and diet quality were evaluated by the Diet Quality Index associated with the Digital Food Guide. The agreement between the methods was assessed using the Pearson's correlation coefficient and the Student' t-test. Results: Strong correlations were observed between energy (0.77), carbohydrates (0.82) and protein (0.83). The groups: poultry, fish, and eggs; beef and pork; refined grains and breads; and fruits and legumes showed strong correlations (between 0.76 and 0.85). There were moderate correlations (0.59 and 0.71) between the groups sugars and sweets; whole grains, tubers and roots, milk and dairy products, animal fats, and the Diet Quality Index associated with the Digital Food Guide scores. Vegetables and leafy greens, nuts, and vegetable oils showed weak correlations (0.31 and 0.43). Homogeneity assessment revealed similarity between the results obtained by both methods (p>0.05) . Conclusion: The Nutrabem app can be used as a tool to assess dietary intake among university students since it produces results similar to those obtained by the 24-hour dietary recall method.

scholarly journals PROTOTYPE DESIGN OF SPEED DETECTION MOBILE APPLICATION FOR GOLFER’S SWING MOVEMENT USING COMPUTER VISION COMPARED TO PORTABLE RADAR AND ACCELEROMETER SYSTEMS

2019 ◽  
Vol 1 (1) ◽  
pp. 49-52
Author(s):  
Bagus Wibowo ◽  
Edi Sofyan ◽  
Gembong Baskoro
Keyword(s):  
Computer Vision ◽  
Mobile Application ◽  
Golf Club ◽  
Accelerometer Data ◽  
Application Development ◽  
Software Application ◽  
The Moment ◽  
Swing Speed ◽  
Python Programming ◽  
Prototype Design

Prototype Design of Golf Swing Speed Detection Mobile Application (GSSDMA)/Swing Vision (SV) has been researched and developed on this thesis with computer vision technique. Frames detection method has been implemented to performed calculation of the swing speed by manually identification of the frames from start of down swing to impact of the ball with Matlab Video Viewer as initial reference calculation, when head of golf club start to move to downswing as frame-zero/fr0 and frame-n/frn as end of the frame after the head of golf club impact to the ball and then the total frames can be determined by frn minus fr0 (frn - fr0) which will be used for speed calculation reference formula using Python programming.Both measurements have been recorded using RADAR and accelerometer systems to get references of swing speed data measurement from some golfers in golf driving ranges. Accelerometer data measurements have been selected to use as reference of speed calculation with Python programming for software application development since deviation standard is lower than the RADAR systems.There is a limitation on the hand phone camera speed which only have thirty frames per second (30 fps) and the maximum swing speed can be tested with this camera is 101,2 mph at the moment which has three frames (frn-fr0). Found a swing speed formula y = - 0,53x3 + 9,53x2 – 61,27x + 213,35 from experimental data’s of Driver, 6 Iron, 8 Iron and Pitching and maximum swing speed can be predicted is 124,69 mph which has two frames.

scholarly journals Measuring the Impact of an AI-Enabled Mobile Application for University Students

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Sayed S. Younes ◽  
Abdulmohsin H. Alharbi ◽  
Mahmoud M. Aboeldahab
Keyword(s):  
Artificial Intelligence ◽  
University Students ◽  
Learning Process ◽  
Mobile Application ◽  
Faculty Members ◽  
Smart Services ◽  
Level Of Satisfaction ◽  
Type Variable ◽  
The Impact

This study developed an artificial intelligence- (AI-) enabled mobile application for smart services and measured the impact of its use on the quality of automatic services among Umm Al-Qura University students. The research instruments used measured the quality of automatic services. The results of the research indicated that the application has a number of advantages, including encouraging students to actively participate in the learning process and contribute to effective communication between faculty members and students, in addition to providing multiple methods of communication between students. The results also indicated that there were no statistically significant differences at the level of 0.05; this indicates that the faculty type variable did not affect the level of satisfaction of Umm Al-Qura University students with the application, and that gender did not affect the level of satisfaction with the mobile application.

scholarly journals Level of Awareness, Perception And Uptake Of Interventions For Computer Vision Syndrome Among University Students, Maseno, Western Kenya

2019 ◽  
Author(s):  
Shadrack Muma ◽  
Dickens Omondi Aduda ◽  
Patrick Onyango
Keyword(s):  
Public Health ◽  
Computer Vision ◽  
University Students ◽  
Early Recognition ◽  
Computer Users ◽  
Health Concern ◽  
Public Health Concern ◽  
Awareness Campaigns ◽  
Computer Vision Syndrome ◽  
Study Results

Abstract Background Computer vision syndrome is a multi-factorial condition of the eye that results in symptoms of stress and discomfort among computer users. It causes chronic vision-related morbidity and reduced work productivity. Ninety percent and 75% of computer users globally and in Africa respectively suffer from CVS. It is an insidious chronic condition that however, has hitherto received little attention, both by health providers as well as computer users. Also, it is likely to be under diagnosed as it mimics other eye conditions. The risk factors for CVS include prolonged period of electronic device use and glare. In Kenya, lack of awareness of the disease is a key barrier to early detection, health seeking and use of interventions. The burden of CVS and how much computer users in learning institutions are aware of and perceive CVS remains unknown.Methods This study adopted cross-sectional study design to determine the level of awareness, perception of CVS, uptake of preventive measures by students at Maseno University. In total, we administered questionnaires to 384 randomly selected students.Results The mean age was 19.5 years (SD= 0.747) with 18-24 years as the modal age group. Females comprised 51.3% (n=197) and males 48.7%. Participants who had at least 5 symptoms of CVS were 60.4% (n= 232). Awareness level was classified as low in 47.8%; medium level in 38.2% and high level in 13.8% of respondents . Sixty percent of respondents did not perceive CVS as an issue of public health concern compared to 39.8% who perceived CVS as an issue of public health concern ( p=0.001). In terms of precautionary measures, only duration of computer use (46.2%, p = 0.001 ) were practiced. The study results show that at least 3 out of 5 students have at least five symptoms of CVS, whereas awareness of the disease and related risks remain low.Conclusion The results of the present study indicate that CVS is a less recognized health concern among university students. Consequently, screening for the disease sensitization of students on CVS and awareness campaigns to improve early recognition and diagnosis of disease as well as uptake of interventions is recommended.

Assessing mobile application components in providing library services

2019 ◽  
Vol 37 (1) ◽  
pp. 49-66 ◽  
Author(s):  
Ali Mansouri ◽  
Nooshin Soleymani Asl
Keyword(s):  
Mobile Applications ◽  
Mobile Application ◽  
Public Libraries ◽  
Mobile Apps ◽  
Library Services ◽  
Statistical Population ◽  
Content Type ◽  
Essential Components ◽  
The Right ◽  
Descriptive Survey

PurposeThis study aims to investigate the essential components needed to develop a practical mobile application for providing library services to its users.Design/methodology/approachThe study was conducted in a descriptive-survey format. The statistical population constituted the libraries worldwide using mobile applications to provide library services to the users of academic and public libraries. The data were collected through the content-analysis method, World Wide Web and checklists.FindingsIt was found that services such as search, ask a librarian, database, renew, circulation and library hours were frequently used at academic libraries, while the services of search, search through barcode scanners and database were mostly common at public libraries. According to the users of academic and public libraries, circulation and renew, search, ask a librarian and library hours were considered as the most essential services to be included in library mobile applications.Practical implicationsMost libraries usually use mobile apps subjectively. Thus, it is important to identify the most important components of their usage and present them in a suitable pattern. The findings of this study identified the most important components in the design and development of mobile apps and proposed the right model for their integration into libraries.Originality/valueThe practical mobile application proposed here for library services is applicable to all types of libraries and provides an appropriate pattern for mobile application designers.

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