Personal Devices Research Articles

Ultrahigh Sensitivity for Thermographic Human-Machine Interface via Precious Metals Atomic Layer Deposition on V-MXene: Computational and Experimental Exploration.

Global healthcare based on the Internet of Things system is rapidly transforming to measure precise physiological body parameters without visiting hospitals at remote patients and associated symptoms monitoring. 2D materials and the prevailing mood of current ever-expanding MXene-based sensing devices motivate to introduce first the novel iridium (Ir) precious metal incorporated vanadium (V)-MXene via industrially favored emerging atomic layer deposition (ALD) techniques. The current work contributes a precise control and delicate balance of Ir single atomic forms or clusters on the V-MXene to constitute a unique precious metal-MXene embedded heterostructure (Ir-ALD@V-MXene) in practical real-time sensing healthcare applications to thermography with human-machine interface for the first time. Ir-ALD@V-MXene delivers an ultrahigh durability and sensing performance of 2.4%°C-1 than pristine V-MXene (0.42%°C-1), outperforming several conventionally used MXenes, graphene, underscoring the importance of the Ir-ALD innovative process. Aberration-corrected advanced ultra-high-resolution transmission/scanning transmission electron microscopy confirms the presence of Ir atomic clusters on well-aligned 2D-layered V-MXene structure and their advanced heterostructure formation (Ir-ALD@V-MXene), enhanced sensing mechanism is investigated using density functional theory (DFT) computations. A rational design empowering the Ir-ALD process on least explored V-MXene can potentially unfold further precious metals ALD-process developments for next-generation wearable personal healthcare devices.

Work-related road traffic accidents: emergence of new modes of personal journey – analysis based on data from a register of road traffic accidents in France

IntroductionAccording to the 2018–2019 People Mobility Survey, work-related journeys (commuting and on-duty journeys) account for approximately 25% of all journeys. The use of non-motorised (nm) and motorised (m) personal mobility...

Protecting patient privacy in the age of smart healthcare: practical cybersecurity measures for individuals and healthcare providers

The rise of smart healthcare technologies, including wearable devices, telemedicine, and the Internet of Medical Things (IoMT), has significantly transformed patient care. However, these advancements have also introduced critical cybersecurity vulnerabilities. This paper explores the escalating threats to patient privacy in the digital age, highlighting substantial increase in cyberattacks on healthcare systems, with data breaches averaging $10.1 million per incident. Analysis reveals several prominent cyber threats to smart healthcare technologies, such as ransomware, phishing, Distributed Denial of Service (DDoS) attacks, Man-in-the-Middle (MitM) attacks, malware, SQL injection, and insider threats, all of which compromise the confidentiality and integrity of patient data. Notably, ransomware attacks have surged by 123% in recent years, severely disrupting patient care and privacy. To mitigate these risks, this commentary proposes actionable cybersecurity measures for both healthcare providers and individuals. Healthcare organizations should conduct thorough risk assessments, implement stringent access controls, encrypt sensitive data, provide comprehensive cybersecurity training for staff, and establish robust incident response plans. Concurrently, individuals are encouraged to remain vigilant about cybersecurity threats, secure their personal devices, use only reputable healthcare applications, be cautious with data sharing, and regularly monitor their health information. By adopting these strategies, both healthcare providers and patients can better safeguard sensitive health information and strengthen the security framework of smart healthcare systems.

Examining 360° video tourist experiences and adoption in a developing country

Purpose Understanding tourist experiences with virtual reality (VR) products is essential for firms using VR for tourism marketing, particularly in developing countries where customers do not have access to personal VR devices or gadgets. This study aims to provide insights into technology usage for tourism marketing India, which is a developing country. It explores 360° virtual tours as an upcoming strategy for tourism promotion by analysing tourists’ perspectives through a qualitative approach. Design/methodology/approach 360° YouTube video launched by the Ministry of Tourism, Government of India, was shown to the participants as a marketing stimulus, followed by questions to understand tourists’ experiences and intentions. Responses were collected from 45 tourists who visited popular tourist destinations such as Shimla, Manali and Dharamshala districts of Himachal Pradesh, India. Findings The findings of the study indicate that several crucial elements play a pivotal role in creating the 360° VR experience. Based on interviews, it was found that 360° video experiences assist in visualising a destination through imaginative exploration, generating curiosity about the destination, forming a favourable image of the destination and facilitates ease of experience. A few participants mentioned experiencing discomforts, such as motion sickness and eye strain, while viewing 360° videos. Moreover, tourists provided valuable insights into various factors, including how 360° videos elicit arousal through entertainment and excitement, develop immersion and engagement in the virtual environment (VE), aid in assessing destination suitability, offers advantage over other media, serves as a substitutes for travel during constraints, generates assurance and influences intentions. These factors have emerged as significant considerations influencing their willingness to adopt such technology in the future. Originality/value In the contemporary market landscape, 360° VR technology is anticipated to enhance the experiential elements within VEs. While existing research has focused on the technical attributes of VR, there remains a crucial gap pertaining to the experiential and destination-related elements and their influence on usage, travel planning and intentions. Therefore, this study provides deeper insights into the unexplored concepts and dimensions of the virtual tourism experience, particularly concerning interaction with 360° videos. The study contributes novel insights to the existing body of tourism literature and provides practical implications for enhancing 360° virtual tour experiences.

Investigation of Criteria for Comparing of Natural and LED Radiation Spectral Distribution

The difference in the spectral composition of artificial and natural lighting can negatively affect health, as well as lead to a distorted perception of the color of surrounding objects. At the same time, a certain correction of the spectral composition of visible radiation in medical institutions and workplaces has a positive effect on human health, while can be carried lighting control out taking into account the data of personal sensor devices that determine the human condition. The purpose of the research was to select criteria for comparing natural and LED optical and visible radiation by spectral composition and by the visibility of color differences in natural and LED lighting. The effectiveness of the application of known and developed criteria for assessing the difference in the spectral composition of optical and visible radiation from natural and LED sources was investigated, as well as for the visibility of color differences in natural and LED lighting. To minimize the values of criteria are proposed additive and subtractive methods for calculating LED parameters. Their comparison allowed us to conclude that a more complex calculation algorithm, but higher performance for an additive technique than for a subtractive one with the same minimization results.It was found that to simulate the spectral composition of natural radiation using LEDs, it is most effective to use the criteria "standard deviations of the relative differences between the optical and visible spectral components of natural and LED radiation". A comparison of the criteria for the visibility of color differences in natural and LED lighting showed approximately the same effectiveness of using the criteria "small color differences" and "standard deviation by photoreceptors" at the present stage and the prospects for applying the second criterion, provided that its acceptable values are established.

Helmet wearing and related factors among electric personal mobility device users in Korea.

Using data from the 2022 Korea Community Health Survey (n = 13 320), this study investigated helmet use and related factors among Korean adults using personal mobility devices, without distinguishing between private and hired users. Among mobility device users, 32.1% responded that they always wore a helmet. The proportion of helmet use was 35.2% among men, 25.8% among women, 29.2% among those aged 19-44 years, 42.3% among those aged 45-64 years and 26.6% among those aged 65 years or older. Furthermore, those who drank less frequently and were physically active were more likely to wear helmets. Moreover, people who always wore a seat belt when driving a car or sitting in the rear seat and people who always wore a helmet when riding a motorcycle were more likely to wear a helmet while using electric personal mobility devices. Approximately one-third of users always wore a helmet. The helmet-wearing rate was related to general characteristics such as gender and education level, and to safety behaviors such as wearing a seat belt when driving a car, sitting in the rear seat of a car, or when riding a motorcycle. In addition to considering personal characteristics investigated in this study, the helmet-wearing rate should be improved through policies or systems at the national or regional levels.

Comprehensive assessment of the accuracy of heart rate determination with the personal wearable device

BACKGROUND: Increased resting heart rate (HR) is an independent risk factor for overall mortality, sudden cardiac death, and death from cardiovascular diseases (CVD) and a worsening factor for CVD patients’ prognosis. Moreover, HR is easy to measure and monitor independently using various devices. The accuracy of personal wearable devices used in assessing HR should be investigated. AIM: To evaluate the accuracy of HR determination with the personal wearable device (PWD). MATERIALS AND METHODS: An open, observational, single-center study was performed. Participants underwent physical examination, electrocardiography, HR recording using PWD, and electrocardiography Holter monitoring (HMECG). For each participant, the study duration was 14 days. The reliability of HR measured in everyday life was assessed using the PWD in comparison with HMECG as the “gold” standard. For statistical analysis, Microsoft Excel 2016 and STATISTICA 10.0 software were used. To assess the reliability of HR measured in everyday life using PWD in relation to HMECG, the hypothesis of the equality of average HR values measured by both methods was tested, a correlation analysis of time series of HR values was conducted, and Bland–Altman plots were used to visualize differences in HR values. RESULTS: The study involved 45 healthy individuals (22 men, 49.24±6.47 years). HR data were obtained over a 24-hour period, including the subjects' routine working day. The results demonstrated good convergence between data on HR using PWD and HMECG. The relative error in determining the HR of PWD did not exceed 3.2%. The smallest relative error was recorded at night and early morning hours (0.3÷1.1%). During the daytime it was slightly higher — from 2.0 to 3.2%. A significantly high positive correlation was obtained between HR recorded using both devices, both at night (MCorrP from 0.75 to 0.85; p 0.001) and during daytime (MCorrP from 0.77 to 0.85; p 0.001). CONCLUSION: The accuracy comparison of 24-hour HR measurements by PWD showed that they were mostly within the acceptable error range (less than 3.2%). Future studies should include HR PWD assessment in patients with various diseases.

Examining 21st century skills in BYOD schools: From programs to practice

Bring-your-own-device (BYOD) is a common strategy to increase technology integration in schools and give learners more responsibility in using digital devices for educational purposes. In particular, learners are expected to develop domain-general 21st-century skills when using their personal devices. Although there is no consensus regarding a comprehensive framework of 21st-century skills, most conceptual models incorporate aspects such as collaboration, communication, creativity, and critical thinking—so-called 4C competences—as well as self-direction and the use of digital technologies for learning, among other aspects. The importance of these competencies has been stressed in general and vocational education. To study the relationship between BYOD approaches and self-reported 21st-century skills, we conducted a survey of N = 8265 upper-secondary students from 100 schools in Switzerland. Using multilevel linear modeling, we compared the self-reported 21st-century skills of students with or without personal digital devices for learning in general and vocational education tracks. Our results indicate that learners reported higher levels of 21st-century skills by indicating that they brought their own devices to school, especially with regard to creativity, self-direction, and the use of technology for learning. However, an official BYOD program was no significant predictor of students’ self-reported skills. The interactions between an official BYOD program and actual BYOD practice in class were not significant. Further, self-reported levels of 21st-century skills seemed to be higher in general than in vocational education. The study indicates that a BYOD concept alone does correspond to students’ 21st-century skills but actual BYOD practices do.

Teacher educators' views and responses to digital distraction in pre-service teacher education

Digital distraction is a growing problem as students' use of personal digital devices increases. This paper investigates teacher educators’ views of the issue and how they intervened when noticing incidents of it. Through a semi-structured interview, the study found that teacher educators recalled numerous examples of digital distraction with some seeing it as a sign of disrespect rather than an unconscious habit. Interventions to address digital distraction varied but tended to be non-disruptive in nature. This paper outlines a hierarchy of interventions employed and discusses the implications of how digital distraction is perceived and responded to by teacher educators.

The Role of Machine Learning in Advanced Biometric Systems

Today, the significance of biometrics is more pronounced than ever in accurately allowing access to valuable resources, from personal devices to highly sensitive buildings, as well as classified information. Researchers are pushing forward toward devising robust biometric systems with higher accuracy, fewer false positives and false negatives, and better performance. On the other hand, machine learning (ML) has been shown to play a key role in improving such systems. By constantly learning and adapting to users’ changing biometric patterns, ML algorithms can improve accuracy and performance over time. The integration of ML algorithms with biometrics, however, introduces vulnerabilities in such systems. This article investigates the new issues of concern that come about because of the adoption of ML methods in biometric systems. Specifically, techniques to breach biometric systems, namely, data poisoning, model inversion, bias injection, and deepfakes, are discussed. Here, the methodology consisted of conducting a detailed review of the literature in which ML techniques have been adopted in biometrics. In this study, we included all works that have successfully applied ML and reported favorable results after this adoption. These articles not only reported improved numerical results but also provided sound technical justification for this improvement. There were many isolated, unsupported, and unjustified works about the major advantages of ML techniques in improving security, which were excluded from this review. Though briefly mentioned, we did not touch upon encryption/decryption aspects, and, accordingly, cybersecurity was excluded from this study. At the end, recommendations are made to build stronger and more secure systems that benefit from ML adoption while closing the door to adversarial attacks.

Learning mathematics with personal mobile devices in school: a multigroup invariance analysis of acceptance among students and teachers

Students’ use of personal mobile devices (PMDs), including smartphones, tablets, and laptops, in mathematics classrooms globally has become feasible due to the implementation of the bring your own device (BYOD) initiatives and policies in schools. Students’ academic use of PMDs in mathematics learning has been associated with increased motivation, enjoyment, and enhanced performance. While debates continue worldwide on the bans of PMDs in schools, it is noteworthy that students in Namibian basic education are not permitted to use PMDs in schools. This study employed a comparative nonexperimental quantitative research design to assess the perceived usefulness (PU) and behavioural intention (BI) to use PMDs in mathematics classrooms among 500 Namibian students and 209 teachers. The study employed a volunteer purposeful sampling method to select participating students and teachers from government schools in the Omusati and Khomas regions. Student selection was based on self-selection from full-class mathematics groups. Similarly, the study utilised volunteer purposeful sampling to recruit grades 4–12 mathematics teachers. Utilising structural equation modelling, the findings revealed that students expressed more positive ratings for PMD usefulness and intention than did teachers. Furthermore, PU significantly predicted students’ BI to learn mathematics with PMDs in school. Multigroup confirmatory factor analysis supported configural, metric, and scalar invariance in PU and BI factor structures across both participant groups. However, when students’ latent means of PU and BI are set to 0, the teachers’ latent mean parameter estimates are negative, suggesting potential disparities. Teachers should recognise and leverage students’ positive perceptions of PMDs to enhance motivation and engagement in mathematics learning. Simultaneously, ensuring consistent assessment across participant groups is essential, while addressing teachers’ PMDs reservations through professional development and support remains crucial.

La filosofía disruptiva en relación a la innovación en la organización empresarial.

Organizations adapt progressively that allows them to be more competitive. The disruptive philosophy establishes innovations in products and services to take advantage of market opportunities and satisfy needs. This philosophy allows us to establish affordable price, quality and potential for continuous improvement. All companies incorporated new technologies to achieve improvement in their internal and external processes. Achieving a disruptive mindset in organizations and people encouraged workers to gain flexible and accessible skills. The use of artificial intelligence has managed to improve decision-making in hiring and talent management. The disruptive philosophy analyzes the process of a company that enters a market with a new strength in technology and surpasses consolidated companies in the sector, which do not adapt to market changes. Its importance explains why large companies and even leading companies in a certain sector are more competitive than others are when using this type of philosophy. In the teaching and learning process of Administration schools, their activities require portable devices and designs, using netbooks and other personal digital devices in the constitution and formalization of Companies, achieving competitiveness. Keywords: Disruptive philosophy; innovation; business organization

Human Action Recognition using Long Short-Term Memory and Convolutional Neural Network Model

Human Action Recognition (HAR) is the difficulty of quickly identifying strenuous exercise performed by people. It is feasible to sample some measures of a body's tangential acceleration and speed using inertial sensors and exercise them only to learn model skills of incorrectly categorizing behavior into the relevant categories. In detecting human activities, the use of detectors in personal and portable devices has increased to better understand and anticipate human behavior. Many specialists are working toward developing a classification that can distinguish between a user's behavior and uncooked data while utilizing as few reserves as possible. A Long-term Recurrent Convolutional Network (LRCN) is proposed as a comprehensive human action recognition system based on deep neural networks in this paper.

Awareness, attitudes and perceptions of students towards leisure noise in Durban, South Africa.

Young adults are exposed to high noise levels in leisure venues, which increases their risk of hearing loss, and can affect their quality of life. The aim of this study was to describe the young adults' awareness, attitudes and perceptions towards leisure noise at a university in South Africa. A descriptive cross-sectional study design with quantitative methods of data was considered for this study. Students from first to fourth years in the Education Department of a local university in Durban, South Africa, who were aged 18 years old - 25 years old were invited to participate in an online survey. Of the 462 participants, most had a general awareness on noise and hearing loss but lacked knowledge on the negative effect of loud noise, with 95.2% using personal listening devices, followed by visiting restaurants and gyms, and 48.3% being unsure if noise can damage hearing permanently. They were unaware of methods to reduce their exposure to noise. A significant relationship between awareness of noise and attitudes (p= 0.029) indicated that the higher the level of awareness regarding leisure noise, the better their attitude and behaviour, thus the lower the risk of hearing loss. The results highlight the need for implementing the World Health Organization (WHO) noise regulations and providing education for this age group to prevent irreversible hearing loss through exposure to leisure noise.Contribution:A national study is recommended to increase research evidence.

Improvement of the model for calculating the protection coefficient of filtering respirators from harmful aerosol

Research objective. Improvement of the model for calculating the protection coefficient of filtering respirators from harmful solid aerosol. Materials and methods. For the experimental determination of the protection coefficient of the filtering respirator according to the standard DSTU EN 149:2017 «Personal respiratory protective devices. Filtering half masks to protect against aerosols. Requirements, testing, marking» and the application of the method DSTU EN 13274-1:2005 «Personal respiratory protective devices. Methods of testing. Part 1. Determination of the penetration coefficient and the overall penetration coefficient», lightweight filtering half masks of «Standard» FFP2 type were used on volunteers. Results. The protection coefficient of the filtering respirators used on volunteers in laboratory conditions was calculated at the specified concentration of test aerosol in the ambient air by the standard testing method described in DSTU EN 13274-1:2005 «Personal respiratory protective devices. Methods of testing. Part 1. Determination of the penetration coefficient and the overall penetration coefficient» and takes into account the measurement error from the instruments not exceeding 10%. A comparison of the obtained indicators of the protection coefficient of filtering respirators in laboratory conditions and with the developed theoretical model, taking into account particle deposition in the sampling probe and submask space during the exhalation process, showed a good agreement of the indicators by the Student's t-test criterion. Scientific novelty. The scientific novelty lies in the development of a model for calculating the protection coefficient of filtering respirators based on the assessed mass distribution function of aerosol particles in the breathing zone; penetration function through the gap between the face and the half mask, taking into account the inhalation and exhalation process, as well as particle deposition in the sampling probe. Practical significance of the work lies in the development of a formula for the theoretical determination of the protection coefficient of filtering respirators, which is used to calculate the professional risk of pneumoconiosis among users

ANALYSIS OF ELECTRONIC ADMINISTRATIVE SERVICES PROVIDED IN THE ADMINISTRATIVE-TERRITORIAL UNITS OF BULGARIA

Electronic administrative services are an effective tool for the modernisation of local self-government. The provided administrative services contribute to facilitating communication between citizens, businesses, and administration, as well as within the administration itself. This article aims to reveal the average provision of electronic administrative services at the local level by examining the average data for each district and to reveal the differences in the provision of electronic administrative services. For this purpose, statistical data on the population who are respondents to the services are used, and the electronic administrative services provided in Bulgaria largely meet the reliability standards. The arguments by which citizens justify the fact that they do not use electronic administrative services are related to public distrust of these services and state institutions in general, preference for personal contact with employees in the administration, concerns about insufficient information security, lack of computer skills, and personal electronic devices that allow the services to be used.

Evaluating computer science students reading comprehension of educational multimedia-enhanced text using scalable eye-tracking methodology

In this research, a mixed-method approach was employed to conduct large-scale eye-tracking measurements, traditionally associated with high costs and extensive time commitments. Utilizing consumer-grade webcams in conjunction with open-source software, data was collected from an expansive cohort of students, thereby demonstrating the scalability and cost-effectiveness of this innovative methodology. The primary objective of this research was to discern the disparities in reading behaviour when students were presented with standard text accompanied by illustrations, compared to the same text with highlighted key terms. The participants, comprised of first-year university students, completed a questionnaire and an introductory test to ascertain their knowledge level. Subsequently, they were segregated into two groups and participated in two reading sessions, during which their ocular movements were recorded. The amassed data underwent both qualitative analyses, facilitated by visualizations, and quantitative analysis, employing statistical measures on the data and test results. Notably, no significant difference was observed in the gaze patterns or test results between the experimental and control groups. However, a significant divergence in gaze patterns was identified between high-achieving students and those experiencing difficulties, as evidenced by the averaged composite heatmaps generated from the data. The findings underscore two pivotal points. Firstly, the feasibility of conducting large-scale eye-tracking experiments is demonstrated. Traditional studies in this field often employ small population samples due to the time and financial constraints associated with methods that utilize specialized eye-tracking hardware. In contrast, our methodology is scalable, relying on low-end hardware and enabling students to record data on their personal devices. Secondly, while eye-tracking may not provide substantial benefits for fine-tuning text already optimized for readability, it could serve as a valuable tool for identifying and assisting learners who are struggling. This mixed-method approach holds significant potential to revolutionize the conduct and interpretation of eye-tracking studies within educational settings.

3D stem-like spheroids-on-a-chip for personalized combinatorial drug testing in oral cancer

BackgroundFunctional drug testing (FDT) with patient-derived tumor cells in microfluidic devices is gaining popularity. However, the majority of previously reported microfluidic devices for FDT were limited by at least one of these factors: lengthy fabrication procedures, absence of tumor progenitor cells, lack of clinical correlation, and mono-drug therapy testing. Furthermore, personalized microfluidic models based on spheroids derived from oral cancer patients remain to be thoroughly validated. Overcoming the limitations, we develop 3D printed mold-based, dynamic, and personalized oral stem-like spheroids-on-a-chip, featuring unique serpentine loops and flat-bottom microwells arrangement.ResultsThis unique arrangement enables the screening of seven combinations of three drugs on chemoresistive cancer stem-like cells. Oral cancer patients-derived stem-like spheroids (CD 44+) remains highly viable (> 90%) for 5 days. Treatment with a well-known oral cancer chemotherapy regimen (paclitaxel, 5 fluorouracil, and cisplatin) at clinically relevant dosages results in heterogeneous drug responses in spheroids. These spheroids are derived from three oral cancer patients, each diagnosed with either well-differentiated or moderately-differentiated squamous cell carcinoma. Oral spheroids exhibit dissimilar morphology, size, and oral tumor-relevant oxygen levels (< 5% O2). These features correlate with the drug responses and clinical diagnosis from each patient’s histopathological report.ConclusionsOverall, we demonstrate the influence of tumor differentiation status on treatment responses, which has been rarely carried out in the previous reports. To the best of our knowledge, this is the first report demonstrating extensive work on development of microfluidic based oral cancer spheroid model for personalized combinatorial drug screening. Furthermore, the obtained clinical correlation of drug screening data represents a significant advancement over previously reported personalized spheroid-based microfluidic devices. Finally, the maintenance of patient-derived spheroids with high viability under oral cancer relevant oxygen levels of less than 5% O2 is a more realistic representation of solid tumor microenvironment in our developed device.Graphical

Droplet Micro-Sensor and Detection of Respiratory Droplet Transmission.

Droplet transmission is the primary infection route for respiratory diseases like COVID-19 and influenza, but small and low-cost wearable droplet detection devices are a significant challenge. Herein, a respiratory droplet micro-sensor based on graphene oxide quantum dots (GOQDs) assembled onto SiO2 microspheres by the nebulized natural deposition is presented. Benefiting from the energy dissipation of the microsphere to droplets, the sensor can detect droplets as far as 2 m from coughing. With this sensor, droplet signal variations caused by some factors like distance, speech, angles, and wind directions are explored, and the effectiveness of different protective measures in preventing droplet transmission is evaluated. This droplet detection technology is expected to be utilized for the development of personal detection and protection devices against infectious respiratory diseases.

Riding Toward Danger: A Scoping Review of Burns Associated With Personal Mobility Devices, Including Electric Bikes (E-Bikes) and Electric Scooters (E-Scooters).

Burn injuries related to lithium-ion batteries from personal mobility devices, such as electric bikes and electric scooters, have emerged as a global concern. By examining the literature, this study aims to provide an overview of the demographics, patterns, and outcomes of personal mobility device-associated burns. A Singaporean cohort revealed burns resulting predominantly from fires occurring due to the combustion of unattended personal mobility device batteries during charging. In contrast, an Israeli cohort showed a higher total body surface area and highlighted the vulnerability of limbs to burn injuries in such incidents. A Beijing cohort, consisting of pediatric patients indicated potential child safety concerns regarding personal mobility device usage. Finally, a Shanghai cohort demonstrated the potential dangers of personal mobility device battery chargers. The observed differences between those experiencing burn injuries and the broader population of personal mobility device riders in terms of age and gender suggest that younger males may be at higher risk, perhaps due to risky practices such as leaving personal mobility devices unattended while charging. This review emphasizes the need for safety education, adherence to regulations, and responsible consumer choices to mitigate burn injuries. Recommendations include promoting child safety measures, using certified personal mobility devices, and cautious handling of DIY conversion kits. Further large-scale studies are essential to gain comprehensive insights and develop effective safety strategies to protect personal mobility device riders from burn injuries.