Android-based Smartphone Application Research Articles

Abstract A059: The role of conversational chatbots in enhancing shared decision making for African American men with early stage prostate cancer

Abstract Introduction : Enhancing shared decision making (SDM) for African American (AA) men with early stage prostate cancer using conversational chatbots (CCs) aims to improve communication, provide information, and empower them in their treatment decision making process. SDM is a collaborative approach that involves patients and healthcare providers working together based on medical evidence and patient preferences. However, AA men face significant disparities in prostate cancer (PCa) outcomes, including higher incidence and mortality rates compared to other racial/ethnic groups in the United States. Limited access to recommended PCa information and inadequate information during SDM conversations contribute to the challenges AA men face when making treatment decisions. The purpose of this study was to develop a conversational chatbot (CC) to provide PCa information in real time thus, enhancing SDM for AA men with PCa. Methods: The Ottawa Decision Support Framework and the International Patient Decision Aids Standards provided guidance and framework for the development of the CC. Our participatory research approach involved a diverse Community-Based Participatory Research Advisory Board (CBPRAB) consisting of twelve members. The CBPRAB included AA PCa survivors, AA men, caregivers, advocates, community leaders, and cancer care providers. Through training in research methods and focus group facilitation, CBPRAB members actively contributed their valuable insights, ensuring a collaborative and inclusive research process. Results: Five stakeholder focus groups (n = 44) comprising AA men, PCa survivors, spouses, healthcare professionals, and advocates provided valuable input for the development of the CC. In total, 819 questions were generated through interviews conducted during the focus groups. These questions were either inferred from the discussions or explicitly provided by the participants. The answers to these questions were developed from evidence based sources, such as the American Cancer Society and National Comprehensive Cancer Network Guidelines. An Android-based smartphone application that allows users to submit questions via speech was created. The application matches the user's question within the data set of 819 questions and provides answers in both voice and text formats. Conclusion : The Android-based smartphone application was alpha tested on four stakeholder focus groups (n=35). The CC developed in the smartphone application demonstrated the capacity to provide real time responses to user questions sourced from an 819-question database derived from our stakeholder focus groups. By offering evidence based information and directing users to additional resources if the question is not in the database, the CC can improve accessibility to medical information, thus enhancing the SDM process regarding early stage prostate cancer. Citation Format: Angela D. Adams. The role of conversational chatbots in enhancing shared decision making for African American men with early stage prostate cancer [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr A059.

Interactive Learning Media Anatomy of 3D Human Skull Using Augmented Reality

Anatomy is the study of the structure of the body and the relationship of its parts to one another. Studying human anatomy is mandatory for students of the Faculty of Medicine, especially Medical Education. Based on the results of a preliminary study conducted by the author on students of the Faculty of Medicine, some students stated that they did not understand studying human anatomy only by reading anatomy books such as Sobotta's Atlas of Human Anatomy, Yokochi's Color Atlas of Anatomy, practicum modules. This gave rise to the idea to design an android-based smartphone application using Augmented Reality technology for interactive learning media. Making AR smartphone applications using Unity and Vuforia software with C# programming language. The result of this research is to develop an interactive learning media application of a 3D human skull using augmented reality technology. Interactive learning media provide convenience for students in studying the anatomy of the human skull

Android-Based Health Service Center Search Application in Tasikmalaya City Using Location Based Service (LBS) Method

Health Service is a place to organize health efforts. Not all health service locations are known to the public, both those from Tasikmalaya City and those from outside the city. This is due to a lack of information about health services in the City of Tasikmalaya. Progress and development of the times, as currently the use of technology is needed to be able to provide information quickly, where the use of technology can be accessed anytime and wherever the user is. The use of Information Technology such as using an Android-based Smartphone Application can be used to help citizens to find a location and find out the route to the desired health service. This study aims to build an Android-based Health Service Search application as a source of information to find out the location and routes to service locations. health services in Tasikmalaya City. The research method used is the waterfall process model. Implementation of health service applications using Javascript programming with Android Studio, Location Based Service, and maps sourced from the Google Maps API. The results of the research are in the form of Android-based Tasikmalaya City health service applications that help make it easier for Tasikmalaya City residents and outside the region to obtain information about Health Services and routes from the user's location to the desired Health Service location in Tasikmalaya City with the help of GPS.

Aplikasi Pencarian Hotel di Kota Jakarta Berbasis Android dengan Metode Location Based Service (LBS) Menggunakan Android Studio

The hotel is a resort for Jakarta and out of town people. Not all hotel locations are known to the public. Both in Jakarta city and out of city. This is due to the lack of information about hotels in Depok City. In order to be able to quickly provide information that can be used anytime, anywhere, it is necessary to advance and develop the times, such as the use of today's technology. B. Using an Android-based smartphone application to help a member of the public find a location and find a route to his Hotel of interest. Jakarta city. The waterfall process model is adopted as a research method. The hotel search application implementation uses JavaScript programming using Android Studio, location-based services, and maps sourced from the Google Maps API. The results of the survey are provided in the form of an Android-based hotel locator application in Jakarta city, allowing residents inside and outside Jakarta to find information about hotels and easily route from the user's location to the desired hotel in Jakarta. You will be able to obtain Cities with the help of GPS.

Stopkontak Pintar Berbasis Internet of things sebagai Solusi Manajemen Energi Listrik dengan Menggunakan Aplikasi Android

Leaving an electrical appliance connected to an outlet when not in use or on standby accounts for 80% of electricity wastage. A study conducted by the Lawrence National Laboratory, it was revealed that when a cellphone charger is still connected to a wall socket when not in use, there is still power being released. The purpose of this research is to make a smart socket based on the Internet of things (IoT) to be able to save electricity. An IoT smart socket that is designed to be integrated with an Android-based smartphone application. The IoT smart socket uses the ACS-712 current sensor and the ZMPT101B voltage sensor to measure electrical energy and then uses the Arduino Nano microcontroller and NodeMCU ESP8266 so that the socket can communicate with the Google Firebase cloud via Wi-Fi connection to the internet. The IoT smart socket uses a relay module as a switch, and the micro SD and RTC DS3231 modules record and store data (data logging) of electrical energy information that has been issued. The IoT smart outlet is integrated with Android smartphone applications created through Android Studio. The IoT smart socket in this study has 2 socket holes and features Wi-Fi pairing, electrical energy measurement, data logging, and socket scheduling (timer). The IoT smart outlet has an average measurement error of 3.27% when compared to a measuring instrument, and there is an error in the outlet timer feature with a delay of 5 to 30 seconds. The IoT smart socket is still said to be valid and can function properly.

APLIKASI PENCARIAN BENGKEL VESPA DI KOTA DEPOK BERBASIS ANDROID DENGAN METODE LOCATION-BASED SERVICE (LBS)

The Vespa workshop is the place to organize Vespa repair efforts. Not all Vespa workshop locations are known by the public, both those from Depok City and those from outside the city. This is due to the lack of information about Vespa workshops in Depok City. The progress and development of the times like today's use of technology is needed to be able to provide information quickly, where the use of technology can be accessed anytime and wherever the user is. The use of information technology, such as using an Android-based smartphone application, can be used to help members of the public find a location and find out the route to the desired Vespa workshop. This study aims to build an Android-based Vespa workshop search application as a source of information to find out the location and routes to available locations in Depok City. The research method used is the waterfall process model. Implementation of the Vespa Workshop Application using Javascript programming with Android Studio, Location-based service, and maps sourced from the Google Maps API. The results of the research are in the form of an android-based Vespa workshop search application that helps make it easier for residents of Depok City and outside the region to obtain information about Vespa workshops and routes from the user's location to the desired Vespa workshop in Depok City with the help of GPS.

Vulnerability To Health in A Ward of Bengaluru: Insights from A Mobile-Based Survey

Context/Background: Rapid urbanization has resulted in a growing number of people living in under-served areas with inadequate and overburdened infrastructure and services, worsening of environmental factors. Sustainable Development Goal 11: “sustainable cities and communities”, highlights, there is an ur-gent need to re-orient the community development strategies by adopting economically & technologically sustainable models. Aims/Objectives: An application-based household survey to assess the vulnerability and Health condi-tions among the urban poor of slums in Bengaluru. Methodology: The tool for Vulnerability Assessment by Government of India was modified to develop a user-friendly tool for Community Health Workers in an Android–based smartphone application (Namma Samudaya). Data was collected through house-to-house survey. Results: A total of 3165 households (HHs) were surveyed. Among these, 54.2% of the HHs belong to vul-nerable category and 45.8% to highly vulnerable group. Conclusions: Domain-wise analysis showed, Residential -25.2% of HHs were located besides polluted wa-ter Social - “No social support” and “disability” was reported by 3% of households each; Health-Related - Catastrophic Health expenditure in the past 1 year was reported by 40.4% HHs. The baseline information of slums & their geographic mapping obtained during the survey can be used as foundation for effective plan-ning of health care services.

Portable smartphone-based colorimetric system for simultaneous on-site microfluidic paper-based determination and mapping of phosphate, nitrite and silicate in coastal waters.

Early and on-site detection of environmental contaminations and physicochemical parameters of seawater is increasingly preferred to guarantee hazard minimization in many settings. In this paper, we describe a combination of microfluidic paper-based sensors (µPADs) and an Android-based smartphone application (App) for simultaneous on-site quantification of phosphate (PO4-P), silicate (SiO3-Si) and nitrite (NO2-N) in coastal seawater samples. The developed App can on-site capture, process, and quantify the µPAD colorimetric outputs. This App uses an image processing algorithm for quantifying color intensity and relating the RGB components to the analyte concentrations. The GPS-tagged data can be stored on the smartphone or sent via social networks. The significant factors affecting the detection of the analytes were optimized using Box-Behnken design. Under optimized parameters, the proposed method presented the linear ranges between 5 and 100µg L-1 for phosphate (R2 = 0.9909), 5 to 100µg L-1 (R2 = 0.9819) for nitrite and 10 to 600µg L-1 (R2 = 0.9933) for silicate. The LODs of the method for detection of phosphate, nitrite and silicate were 1.52µg L-1, 0.61µg L-1 and 3.74µg L-1, respectively. The device was successfully used to simultaneous analyze and map the PO4-P, SiO3-Si and NO2-N of Bushehr coastal seawater samples (Iran). The results were confirmed by the lab-based conventional colorimetric methods using spectrophotometer.

Piloting Smartphone Application to Improve Mother’s Knowledge of Proper Neonatal Care in Indonesia

BACKGROUND: The first of 0–28 days presents a crucial stage in infant health and well-being. In Indonesia, it is estimated that 60–80% of all newborn deaths occur within the first 6 days of life. Antenatal education regarding neonatal care is needed in this setting. AIM: This study aims to pilot an Android-based smartphone application (app) to assess effectiveness in improving pregnant Indonesian women’s knowledge about neonatal care. METHODS: A quasi-experimental study conducted from November 2019 to January 2020 with 31 participants in each of the experimental and control groups (n = 62). Participants were pregnant women in the third trimester who obtained antenatal care (ANC) at the Community Health Center in Banguntapan 1 in Yogyakarta, Indonesia. Participants completed a structured questionnaire and were given the “My Baby Care” (MBC) app. Data collection occurred 3 times in the form of (1) pre-intervention activities and training on use of the MBC app; (2) follow-up activities using WhatsApp groups during the intervention; and (3) post-intervention data collection was conducted through Google Forms questionnaire. Data were analyzed using paired t-tests to compare pre- and post-intervention groups, and independent sample t-tests to compare participants’ knowledge status between the two groups. RESULTS: Participants were on average 28.7 years old in the experimental group and 29.9 years old in the control group. The majority had a high school level education, were not currently working, got married over the age of 20, and had more than two children. Before the intervention, there was no significant difference in neonatal care knowledge of the participants between the experimental and control groups. We found that health education delivered through the smartphone app was effective in increasing participants’ knowledge about neonatal care (MD = 4.354, p = 0.030). CONCLUSION: The use of an Android-based smartphone app was found to be effective in increasing mother’s knowledge about proper neonatal care. Digital strategies are innovative and should be considered for the implementation of health education in ANC programs in Indonesia and beyond.

JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease.

Health-related data being collected by smartphones offer a promising complementary approach to in-clinic assessments. Despite recent contributions, the trade-off between privacy, optimization, stability and research-grade data quality is not well met by existing platforms. Here we introduce the JTrack platform as a secure, reliable and extendable open-source solution for remote monitoring in daily-life and digital-phenotyping. JTrack is an open-source (released under open-source Apache 2.0 licenses) platform for remote assessment of digital biomarkers (DB) in neurological, psychiatric and other indications. JTrack is developed and maintained to comply with security, privacy and the General Data Protection Regulation (GDPR) requirements. A wide range of anonymized measurements from motion-sensors, social and physical activities and geolocation information can be collected in either active or passive modes by using JTrack Android-based smartphone application. JTrack also provides an online study management dashboard to monitor data collection across studies. To facilitate scaling, reproducibility, data management and sharing we integrated DataLad as a data management infrastructure. Smartphone-based Digital Biomarker data may provide valuable insight into daily-life behaviour in health and disease. As illustrated using sample data, JTrack provides as an easy and reliable open-source solution for collection of such information.

Penggunaan Aplikasi Mobile Technology untuk Deteksi Breeding Place Pencegahan Demam Dengue: Literature Review

The existence of a breeding place have threefold greater risk to the DHF incidence. The participation of mosquito monitoring interpreters (JUMANTIK) by using an Android-based smartphone application functions play significant role to inform the location of interactive breeding places with the latest data updates. Aim of this study to analyze the use of mobile technology applications in the detection of dengue breeding places with the PRISMA method approach. Method used in this study is s a literature review . Database used Google Scholar, Pubmed and Proquest. The keywords used are the combination "mobile technology application", "breeding place", "dengue". Inclusion criteria are articles published in 2016- 2020, using English or Indonesian and have full text. The advantages of the android application are very effective, low cost in controlling mosquito larvae, recent monitor, record and track the location of the existence of breeding places. The innovation are needed to design android specifications that are more organized in data collection of respondents to facilitate Jumantik's work in determining the breeding place coordinator.

INTERNET OF THINGS: AUTOMATIC PLANT WATERING SYSTEM USING ANDROID

Internet of Things (IoT) is a system that connects devices directly or indirectly to the internet. The device can work with remote control. One application of the IoT system on the watering system is able to provide an approach to the ease in the process of growth and development of plants. The research carried out was applied to an IoT-based smart plant watering device. The tool is supported with a soil moisture measuring sensor that acts as a benchmark to determine the condition of soil moisture and automatic control of the process of watering plants. The process of watering plants is scheduled in the morning and evening. Information, as long as the device is run will be displayed on the LCD and screen of an Android-based smartphone application. The data can be a comparison value to determine the suitability of soil moisture data in plants. The volume of water supplied in the watering process also affects the level of soil moisture. IoT-based smart plant sprinklers can automate watering by measuring the percentage of soil moisture as a benchmark for providing water during the watering process. Remote watering control can also be done on this tool by using a WiFi signal to the same access point that is connected to the smartphone client and microcontroller. Keyword: agriculture, automatic sprinklers, engineering, IoT

Android-Based Augmented Reality in Education Activity for Children


 Augmented reality technology has been widely developed and implemented in an Android-based smartphone application. This technology can be used for entertainment and education. Unfortunately, the use of education is still rare. This paper proposes an android application to introduce the types of land transportation based on augmented reality technology which is visualized in 3-dimensional (3D) form for education as well as entertainment. There are seven land transportation modes that are presented range from two wheels to four wheels, i.e. cars, ambulances, buses, motorbikes, taxis, trucks, and bicycles. Alpha testing has been carried out and shows the results that the application runs well following the expected function. This application can be delivered to the public, especially for the online learning of children in a pandemic situation. In addition, it helps parents to introduce several land transportation modes. With a 3D view, the introduction of types of land transportation is more interactive and realistic. 
 Keywords: android, application, augmented reality, transportation

Predicting soil texture from smartphone-captured digital images and an application

The rapid and non-invasive prediction of soil sand, silt, and clay is becoming increasingly attractive given the laborious nature of traditional soil textural analysis. This study proposed a novel and cheap setup comprising a smartphone, a custom-made dark chamber, and a smartphone application for predicting soil texture of the dried, ground, and sieved samples. The image acquisition system was used to capture triplicate images from 90 mineral soil samples, representing a wide textural variability from sand to clay. Local features, color features, and texture features were extracted from the cropped images and subsequently used in different combinations to predict laboratory-measured clay, silt, and sand via random forest (RF) and convolutional neural network (CNN) algorithms. Results indicated high prediction accuracy for clay (R2 = 0.97–0.98) and sand (R2 = 0.96–0.98) and moderate prediction accuracy for silt (R2 = 0.62–0.75) using both algorithms. Color features outperformed all other image-extracted features and showed the maximum influence on RF model performance. The better performance of the color features can be attributed to the color features of mineral matter and soil organic matter (SOM). An Android-based smartphone application based on the calibrated CNN model was able to predict and return soil textural values. These results exhibited the potential of the proposed system as a proximal sensor for rapid, cost-effective, and eco-friendly soil textural analysis using computer-vision and deep learning. More research is warranted to augment the setup design, develop a standalone mobile application, and measure the impacts of soil moisture and high SOM on the model prediction performance to extend the approach for on-site prediction of soil texture.

Adapting smartphone app used in water testing, for soil nutrient analysis

Smartphone technology has now penetrated every aspect of modern life. At such high rates of access and utilization, there is today much potential for the development of smartphones as high-performing tools in a number of industries. Traditionally, smartphones have been used as e.g. point-of-care testing devices in developing countries; now a similar approach can be extended to agriculture. This paper assesses the viability of utilizing smartphones in soil analysis. An Android-based smartphone application, in conjunction with commercially available Quantofix® test strips, was employed to analyze 92 soil samples collected across Indonesia. The soils tested encompassed a wide range of different textures (with 13%, 60% and 25% of samples constituting sandy, loamy and clayey soils, respectively), soil organic matter contents (range: 0.8–19.7%) and nutrient concentrations (range for plant-available N: 0.1–137.4 mg kg−1 and P: 1.2 to 64.2 mg kg−1; on dry soil basis). The app utilizes the smartphone as a portable reflectometer, which relates the color of test strips to the concentration of particular nutrients present in the soil medium. Three mobile devices currently available on the market, representing low, mid- and high-end products, were used to test the application. The results obtained via the smartphone were compared against standard methods for determination of extractable nitrate-N and exchangeable phosphorus (Olsen-P) under laboratory conditions. The smartphone-mediated soil analysis was found to have a high degree of agreement with standard methods for nitrate-N determination (87% of samples with nitrate-N differed by less than 10 mg kg−1 from the standard method for the high-end smartphone) but not for phosphorus determination where chemical interferences to test strip colour development were noted. All three mobile devices were shown to be effective as portable reflectometers. However, color perception was found to differ amongst the devices, resulting in a consistent bias between the high-end phone and the remaining appliances. Whereas, it is essential to consider the inter-smartphone variability in readings and environmental factors such as temperature prior to the smartphone-mediated soil analysis, the smartphone-test strip combination might be employed as acceptable screening tool for soil nutrient concentration assessment to enhance crop outcomes, increasing yield, and preventing over-application of inputs, reducing consequent financial and environmental impact. Further enhancements can test the applicability of smartphone-mediated soil analysis in field conditions.

Secure Data Travelling User using Hybrid Cryptosystem with User Privacy Protection

Nowadays traveling is the activity that everyone likes the most, but sometimes there is one traveling member who is lost and confused looking for the location of the other members. When traveling, they must bring a smartphone because of its small size and easy to carry anywhere. For this reason, an Android-based smartphone application that is able to send GPS data to all travelling members is proposed. In order to secure data transmission, cryptography and group signature to ensure that only traveling members could find out the location are applied. We use hybrid cryptography, which is a combination of symmetric cryptography using AES and asymmetric cryptography using IB-mRSA. We also add group signature as verification that members are in the same traveling group. The test result showed that the proposed method is safer than the comparison method because the symmetric key is encrypted before the key is distributed, so the attacker can not know the key. The total processing time needed to send data until member get data is 2.01 s.

Real-Time Routing Protocol for Music Application With Multiple Outputs

We present a client-server based smartphone application that act as a music input device with several outputs. The application allows user to interact with one phone as the input and the server and hear the sound from several connected smartphones that act as clients. Since transmitting data may require some time, we need to deal with transmission delay. Hence, we developed an algorithm to detect the delay and synchronize these values between all connected devices. By agreeing to a single delay value, we were able to minimize the difference in playtime between server and connected clients. We performed the test by building an Android-based smartphone application, installing it to multiple devices, and connecting them to a WiFi-based local area network. The test shows that our proposed system has successfully reduce the difference between devices and the connected devices were able to produce sounds with insignificant delay.

The potential for using smartphones as portable soil nutrient analyzers on suburban farms in central East China

Soil testing is frequently conducted to specify nutrient supply recommendations. By adjusting fertilizer type and application rates, farmers can achieve desired crop yields with lower production costs and are thereby less likely to contribute to eutrophication of nearby waterbodies. However, traditional methods of soil testing can be costly, time-consuming and are often impractical in rural and resource-poor regions in China, where rapid population growth and consequent food demand must be balanced against potential environment risks. Smartphones are nearly ubiquitous and offer a ready capability for providing additional support for existing extension advice. In this study, we used an Android-based smartphone application, in conjunction with commercially-available Quantofix test strips, to analyze soil samples with a goal of providing specific fertilizer recommendations. The app transforms the smartphone into a portable reflectometer, relating the reaction color of the test strips to the concentration of soil nutrients available. A 6-month long field study involving two growing seasons of vegetables was conducted in a suburban area of Nanjing, Jiangsu Province of China to evaluate the accuracy and precision of smartphone-mediated soil analysis. Results obtained via the smartphone correlated well with the yield response of the common green vegetable Ipomoea aquatica (water spinach) and could be applied in calculations of necessary off-farm inputs throughout the open-field vegetable growing season. Together, the smartphone and test strip in combination were shown to offer an acceptable screening tool for soil nutrient concentration assessment with the potential to result in substantial monetary savings and reduction of nutrient loss to the environment.

Concept, Possibilities and Pilot-Testing of a New Smartphone Application for the Social and Life Sciences to Study Human Behavior Including Validation Data from Personality Psychology

With the advent of the World Wide Web, the smartphone and the Internet of Things, not only society but also the sciences are rapidly changing. In particular, the social sciences can profit from these digital developments, because now scientists have the power to study real-life human behavior via smartphones and other devices connected to the Internet of Things on a large-scale level. Although this sounds easy, scientists often face the problem that no practicable solution exists to participate in such a new scientific movement, due to a lack of an interdisciplinary network. If so, the development time of a new product, such as a smartphone application to get insights into human behavior takes an enormous amount of time and resources. Given this problem, the present work presents an easy way to use a smartphone application, which can be applied by social scientists to study a large range of scientific questions. The application provides measurements of variables via tracking smartphone–use patterns, such as call behavior, application use (e.g., social media), GPS and many others. In addition, the presented Android-based smartphone application, called Insights, can also be used to administer self-report questionnaires for conducting experience sampling and to search for co-variations between smartphone usage/smartphone data and self-report data. Of importance, the present work gives a detailed overview on how to conduct a study using an application such as Insights, starting from designing the study, installing the application to analyzing the data. In the present work, server requirements and privacy issues are also discussed. Furthermore, first validation data from personality psychology are presented. Such validation data are important in establishing trust in the applied technology to track behavior. In sum, the aim of the present work is (i) to provide interested scientists a short overview on how to conduct a study with smartphone app tracking technology, (ii) to present the features of the designed smartphone application and (iii) to demonstrate its validity with a proof of concept study, hence correlating smartphone usage with personality measures.

Development of a Portable Tool for Screening Neuromotor Sequelae From Repetitive Low-Level Blast Exposure.

Blast exposure is a prevalent cause of mild traumatic brain injury (mTBI) in military personnel in combat. However, it is more common for a service member to be exposed to a low-level blast (LLB) that does not result in a clinically diagnosable mTBI. Recent research suggests that repetitive LLB exposure can result in symptomology similar to symptoms observed after mTBI. This manuscript reports on the use of an Android-based smartphone application (AccWalker app) to capture changes in neuromotor functioning after blast exposure. Active duty U.S. Navy personnel (N = 59) performed a stepping-in-place task before repetitive LLB exposure (heavy weapons training), and again immediately after, 24 hours after, and 72 to 96 hours after the completion of the training. The AccWalker app revealed that there are changes in neuromotor functioning after LLB exposure (slower self-selected movement pace and increased stride time variability) in participants who experienced neurocognitive decline. These data suggest that neurocognitive and neuromotor decline can occur after repeated LLB exposure.