Evaluation of the Diet Tracking Smartphone Application Keenoa™: A Qualitative Analysis

2021 ◽  
pp. 1-5
Author(s):  
Valerie Bouzo ◽  
Hugues Plourde ◽  
Hailee Beckenstein ◽  
Tamara R Cohen
Keyword(s):  
Mobile Apps ◽  
Smartphone Application ◽  
Related Data ◽  
Exit Survey ◽  
Physical Activity Monitoring ◽  
Data Collection Process ◽  
Limited Food ◽  
Food Diaries ◽  
Nutritional Data ◽  
Recognition Software

Keenoa™ is a novel Canadian diet application (app) currently used by Canadian dietitians to collect diet-related data from clients. The goal of this study was to evaluate Keenoa™ based on user feedback and compare it to a conventional pen and paper method. One hundred and two participants were recruited and randomly assigned to record their diets using this application for 3 nonconsecutive days. Following this, participants were invited to complete an online “exit” survey. Seventy-two subjects responded, with 50 completing an open-ended question asking for general feedback about the app. Data were reviewed and 3 main themes emerged: strengths, challenges, and future recommendations. Strengths associated with the app consisted of picture recognition software, the additional commentary feature, and the overall pleasant data collection process. Challenges that were identified included inconsistencies with the barcode scanning features, the limited food database, time to enter food details, and software issues. Future recommendations included using a larger food database, pairing dietary intake with physical activity monitoring, and having accessible nutritional data. Despite these limitations, participants preferred using mobile apps to record diet compared with traditional written food diaries.

scholarly journals Smart City: Studying Smartphone Application Functions with City Marketing Goals Based on Consumer Behavior of Generation Z in Hungary

2019 ◽  
Vol 27 (1) ◽  
pp. 48-58
Author(s):  
Tamás Iványi ◽  
Szilvia Bíró-Szigeti
Keyword(s):  
Cluster Analysis ◽  
Smartphone Application ◽  
Functional Requirements ◽  
City Marketing ◽  
Related Data ◽  
Generation Z ◽  
Exploratory Survey ◽  
Local Residents ◽  
Quantitative Results ◽  
Online Experience

Many cities in Hungary have an application specially developed for smartphones that try to satisfy both the needs of tourists and local residents. These "products" are based on different objectives of city marketing and destination marketing: their goal is to make shorter or longer stays more comfortable, provide faster and more personalized information, help consumers to turn their offline experiences into online experience sharing and to provide a platform for two-way communication between local and touristic consumers. In addition to the marketing literature review related to smartphones and local tourism experiences, this paper presents the results of a quantitative questionnaire focusing on the needs of Generation Z concerning application functions. Based on the quantitative results, the members of Generation Z are classified into three main groups with the k-means cluster analysis. Among the groups, there are significant differences between the functional requirements of city marketing applications, and according to the size of the groups three main application types and two main ways of software development can be distinguished. The results also show that there are four main group of functions and connected to the different clusters application functions appear together in the needs of consumers. However, the analysis and comparison of the related data together show also that there are only small differences concerning demographic and device-usage variables between the groups defined by the k-means cluster analysis, and this requires more research methods to be conducted in the future based on the results of this exploratory survey research.

scholarly journals Forensic Analysis of Fitbit Versa 2 Data on Android

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1431
Author(s):  
Yung Han Yoon ◽  
Umit Karabiyik
Keyword(s):  
Law Enforcement ◽  
Credit Card ◽  
Smartphone Application ◽  
Forensic Analysis ◽  
New Device ◽  
Related Data ◽  
Mobile Forensics ◽  
Health Related ◽  
Media Message ◽  
Fitness Trackers

The increase in the adoption of wearable fitness trackers has led to their inclusion as valuable evidence used by law enforcement during investigations. The information available in these fitness trackers can be used by law enforcement to prosecute or exonerate an individual. Wearable fitness devices are constantly being released by companies, with new firmware created for each iteration. As technology developers, research and law enforcement must keep pace to take advantage of data that can be used in investigations. The Fitbit line of devices is a popular brand of wearable trackers. This study will investigate what artifacts are generated by the new Fitbit Versa 2 by investigating what data are generated and stored on the smartphone app component of the new device. The artifacts discovered will be related to areas of forensic interest that are relevant to a law enforcement officer or digital forensics practitioner. Previous research and their methodologies used for application and mobile forensics will be used to conduct this research. This study finds the Fitbit Versa 2, and by extension, the Fitbit smartphone application does not store social media message notifications pushed to the tracker by the user’s mobile device. Some credit card information, health-related data, such as heart rate, GPS locations, and other potentially identifying data were found in plaintext. While the exposed data is not enough on its own to pose an immediate serious issue, it can be used as leverage to phish a user for further details.

scholarly journals Would patients undergo postoperative follow-up by using a smartphone application?

BMC Surgery ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Julian Scherer ◽  
Frank Keller ◽  
Hans-Christoph Pape ◽  
Georg Osterhoff
Keyword(s):  
Mobile Application ◽  
Smartphone Application ◽  
Mobile App ◽  
Web Based ◽  
Direct Benefit ◽  
Orthopaedic Practice ◽  
Related Data ◽  
Healthcare Data ◽  
Health Related

Abstract Background eHealth applications have been proposed as an alternative to monitor patients in frequent intervals or over long distances. The aim of this study was to assess whether patients would accept an application on their smartphone to be monitored by their physicians. Methods During September 2017 and December 2017 a survey amongst smartphone users was conducted via paper and web-based questionnaires. Results More than half of the 962 participants (54%) were older than 55 years of age. The majority of the participants (68.7%) would accept a follow-up by a smartphone application obtaining personal healthcare data. 72.6% of all patients older than 55 years of age would use the application. The most prevalent reason against installing the application was data protection. Patients being currently treated in an orthopaedic practice and pedestrians were more eager to accept a follow-up by a mobile app than participants from social media. Conclusion The majority of participants would accept a mobile application, collecting personal health-related data for postoperative follow-up, and saw a direct benefit for the patient in such an application.

scholarly journals A Mobile Application for Easy Design and Testing of Algorithms to Monitor Physical Activity in the Workplace

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Susanna Spinsante ◽  
Alberto Angelici ◽  
Jens Lundström ◽  
Macarena Espinilla ◽  
Ian Cleland ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Field Tests ◽  
Smartphone Application ◽  
Sitting Time ◽  
Training Phase ◽  
Accelerometer Sensor ◽  
Additional Information ◽  
Physical Activity Monitoring ◽  
Set Up

This paper addresses approaches to Human Activity Recognition (HAR) with the aim of monitoring the physical activity of people in the workplace, by means of a smartphone application exploiting the available on-board accelerometer sensor. In fact, HAR via a smartphone or wearable sensor can provide important information regarding the level of daily physical activity, especially in situations where a sedentary behavior usually occurs, like in modern workplace environments. Increased sitting time is significantly associated with severe health diseases, and the workplace is an appropriate intervention setting, due to the sedentary behavior typical of modern jobs. Within this paper, the state-of-the-art components of HAR are analyzed, in order to identify and select the most effective signal filtering and windowing solutions for physical activity monitoring. The classifier development process is based upon three phases; a feature extraction phase, a feature selection phase, and a training phase. In the training phase, a publicly available dataset is used to test among different classifier types and learning methods. A user-friendly Android-based smartphone application with low computational requirements has been developed to run field tests, which allows to easily change the classifier under test, and to collect new datasets ready for use with machine learning APIs. The newly created datasets may include additional information, like the smartphone position, its orientation, and the user’s physical characteristics. Using the mobile tool, a classifier based on a decision tree is finally set up and enriched with the introduction of some robustness improvements. The developed approach is capable of classifying six activities, and to distinguish between not active (sitting) and active states, with an accuracy near to 99%. The mobile tool, which is going to be further extended and enriched, will allow for rapid and easy benchmarking of new algorithms based on previously generated data, and on future collected datasets.

scholarly journals Modern technologies and mobile apps in developing speaking skill

2021 ◽  
Vol 5 (S2) ◽  
pp. 1216-1225
Author(s):  
Rustamova Adash Eshankulovna
Keyword(s):  
Language Learners ◽  
Mobile Apps ◽  
First Century ◽  
Language Abilities ◽  
Novel Technologies ◽  
Foreign Language Learners ◽  
Speaking Skill ◽  
English Speaking ◽  
Recognition Software ◽  
Speaking Skills

Speaking is one of the abilities that students must develop when studying English. Speaking is a necessary technique for communication. Improving pupils' speaking ability has long been a priority in the classroom. Various novel technologies are being developed to educate speaking skills in classrooms in the rapidly expanding twenty-first century. Technology is the means through which we may gain access to this updated environment. Technology has been viewed as a means of assisting pupils in improving language abilities such as speaking ability. The Internet, podcasts, video conferencing, movies, and voice recognition software are regarded as the most effective instruments for training public speaking. The purpose of this paper is to explore some of the current tools that are accessible to English instructors today to help second or foreign language learners improve their speaking skills.

scholarly journals Feasibility and Acceptability Findings of an Energy Balance Data Repository of Children, Adolescents, and Young Adults with Cancer

2020 ◽  
Vol 9 (9) ◽  
pp. 2879
Author(s):  
Maria C. Swartz ◽  
Alaina K. Teague ◽  
Stephanie J. Wells ◽  
Theresa Honey ◽  
Min Fu ◽  
...  
Keyword(s):  
Young Adults ◽  
Energy Balance ◽  
Retention Rate ◽  
Adolescents And Young Adults ◽  
Data Repository ◽  
Patient Reported ◽  
Food Diaries ◽  
Patient Reported Measures ◽  
Nutritional Data

Cancer patients suffer changes in energy balance (EB), the combination of energy intake (nutrition) and energy expenditure (physical activity (PA)), which may influence cancer-related morbidity, mortality, and quality of life. Significant gaps remain in our understanding of the frequency and magnitude of these EB changes. Herein, we report on the feasibility and acceptability of a longitudinal repository of EB outcomes in children, adolescents and young adults (AYA) with cancer along the cancer continuum to fill these gaps. This EB repository includes PA, nutrition, and physical function (PF) parameters. PA data were gathered through activity trackers. Nutritional data were gathered through food diaries and micronutrient labs. PF was assessed with validated objective and patient-reported measures. Feasibility was achieved with >50% enrollment of eligible patients (n = 80, Mage = 18.1 ± 7.5); 26 were children with cancer and 54 were AYAs with cancer. An 88.75% retention rate indicated acceptability. Despite COVID-19 disruptions, >50% of participants provided completed data for PA and micronutrient labs as of April 2020. Food diaries and PF data collection experienced disruptions. Methodological adaptations are in progress to minimize future disruptions. Overall, our findings demonstrate that prospective EB assessments are feasible and acceptable among children and AYAs with cancer.

scholarly journals PENINGKATAN KOMPETENSI KARYAWAN DAN SAFETY CULTURE MELALUI LEARNING MANAGEMENT SYSTEM “SINTESIS+” SEBAGAI KONTROL OPERASIONAL

2019 ◽  
Vol 1 (1) ◽  
pp. 67-75
Author(s):  
Chandra Singgih Pitoyo ◽  
Yuristian Yuristian ◽  
Cahyo Andrianto ◽  
Riza Rahmah Angelia
Keyword(s):  
Safety Culture ◽  
Mobile Apps ◽  
Educational Background ◽  
Technology Literacy ◽  
Work Permit ◽  
Related Data ◽  
Business Partners ◽  
Learning Platform ◽  
Compliance Level ◽  
Incident Rate

With 118.400 hectare of concession area and employed people for more than 21.694 employees within company and from business partners, Berau Coal needs to put more concern in managing operational and health, safety and environment (SHE). The challenges that need to be faced are location that scattered into 4 operational areas, limited time for employess to access information because most of time exploitated for working, various educational background, and technology literacy. Berau Coal has been developed a learning platform, named SINTESIS+ and SID. The aims in development of those platforms are; (1) as a operational and HSE-themed learning platform, (2) toincrease capacity and to build HSE and operational competencies, (3) to increase operational control for competencies related to entry permit, work permit, license, and specialization, and (4) to intervene employees’ behaviour to build safety culture. Features and contents that has been embedded in SINTESIS+ are online learning with multimedia materials, online testing with real time result, webinar, incident and mining operational news, repositories for employees’ portfolio, event and training registration, integrated with SID to recordemployees’ historical competency-related data, and sustainable process to increase HSE awareness. Since its launching, SINTESIS+ has been accessed by 7867 employees, tested for 1024 exams, conducted webinar that participated by 330 employees, and run more effective and efficient processes. Impacts from integration process with SID are the increase of compliance level for competencies to 98% and the increase of process control efficiency. With those increments, beside the employees’ compency and HSE awareness is increased, hoped to lower incident rate. In the future, to improve access to the platform, Berau Coal is willing to develop mobile apps forSINTESIS+.

scholarly journals The Age of Artificial Intelligence: Use of Digital Technology in Clinical Nutrition

2021 ◽  
Vol 9 (7) ◽  
Author(s):  
Berkeley N. Limketkai ◽  
Kasuen Mauldin ◽  
Natalie Manitius ◽  
Laleh Jalilian ◽  
Bradley R. Salonen
Keyword(s):  
Decision Support ◽  
Mobile Applications ◽  
Digital Technology ◽  
Mobile Apps ◽  
Clinical Nutrition ◽  
Decision Support Tools ◽  
Wearable Technologies ◽  
Related Data ◽  
Support Tools ◽  
Remote Assessment

Abstract Purpose of review Computing advances over the decades have catalyzed the pervasive integration of digital technology in the medical industry, now followed by similar applications for clinical nutrition. This review discusses the implementation of such technologies for nutrition, ranging from the use of mobile apps and wearable technologies to the development of decision support tools for parenteral nutrition and use of telehealth for remote assessment of nutrition. Recent findings Mobile applications and wearable technologies have provided opportunities for real-time collection of granular nutrition-related data. Machine learning has allowed for more complex analyses of the increasing volume of data collected. The combination of these tools has also translated into practical clinical applications, such as decision support tools, risk prediction, and diet optimization. Summary The state of digital technology for clinical nutrition is still young, although there is much promise for growth and disruption in the future.

scholarly journals The Beyond-Use Date Perception of Drugs in North Jakarta, Indonesia

2021 ◽  
Vol 10 (3) ◽  
pp. 172-179
Author(s):  
Fonny Cokro ◽  
Sherly T. Arrang ◽  
Jonathan A. N. Solang ◽  
Pangestuning Sekarsari
Keyword(s):  
Data Collection ◽  
Public Awareness ◽  
Relevant Information ◽  
Expiration Date ◽  
Related Data ◽  
Data Collection Process ◽  
Drug Storage ◽  
The Subject ◽  
The Moment

Beyond-Use Date (BUD) refers to the unsafe period of drug consumption and is calculated from the moment of opening the primary package. Meanwhile, Indonesia has no current related data, in terms of public awareness. Therefore, this research aims to assess the BUD perception of North Jakarta communities and pharmacists’ roles in providing the relevant information. The data collection process employed a semi-structural interview across 6 districts in the research location between September-November 2019, followed by data transcription and thematic development. Based on 60 informants recruited by purposive sampling, three themes were obtained, including residual drug storage, pharmacists’ contributions, and BUD awareness. Furthermore, about 97% of the respondents were completely unaware of the subject matter, while 100% denied having any form of sensitization from pharmacists. The perception of 50% were based on the expiration date labelled on the medications. In summary, North Jakarta community’s views were possibly influenced by very poor BUD knowledge. Therefore, the role of pharmacists in educating patients and communities appears very essential.

scholarly journals Implementation of an electronic nose for classification of synthetic flavors

2021 ◽  
Vol 10 (3) ◽  
pp. 1283-1290
Author(s):  
Radi Radi ◽  
Barokah Barokah ◽  
Dwi Noor Rohmah ◽  
Eka Wahyudi ◽  
Muhammad Danu Adhityamurti ◽  
...  
Keyword(s):  
Data Collection ◽  
Electronic Nose ◽  
Principal Component ◽  
Data Collection Process ◽  
Data Collection And Analysis ◽  
Sample Data ◽  
Three Stages ◽  
Pre Treatment ◽  
Recognition Software

Classification and identification of synthetic flavor become routine activities in the flavor and food industry due to its application. As a modern olfactory technology, electronic nose (e-nose) has the possibility to be applied in these activities. This study aimed to evaluate an e-nose for classifying synthetic flavors. In this study, an e-nose was designed with an array of gases sensors as the main sensing component and principal component analysis (PCA) for the pattern recognition software. This research was started with preparation of the hardware, continued with preparation of sample, data collection, and analysis. There were nine samples of synthetic flavors with different aroma, namely: grapes, strawberry, mocha, pandanus, mango, jackfruit, orange, melon, and durian. The data collection process includes three stages, i.e. flushing, collecting, and purging of 2 min, 3 min, 2 min respectively. These sensor responses were then analyzed for forming aroma patterns. Four pre-treatment methods were applied for the aroma pattern formation: absolute data, normalize of absolute data, relative data, and normalize of relative data. With the PCA for evaluation, the results showed that the absolute data treatment provided the best results, indicated from the distribution of aroma patterns that were grouped according to the type of samples.

Sign in / Sign up

Export Citation Format

Share Document