All of the articles in this proceedings volume have been presented at the 1st International Conference on Lifespan Innovation (ICLI 2025) during June 12–13, 2025, held virtually. These articles have been peer reviewed by the members of the Conference Committees and approved by the Editor-in-Chief, who...

This study investigates the impact of freedom and economic growth on happiness across 16 APEC member countries from 2012 to 2021, using a Panel ARDL model. The key variables include economic, democratic, and personal freedoms, along with GDP per capita. Results indicate that all three types of freedom...

Effective inventory management is crucial in the fast-paced fashion retail industry, particularly for dynamic product categories like men’s T-shirts. This research proposes a full-stack AI-driven inventory optimization framework that integrates advanced forecasting models, real-time dashboards, and automated...

Air pollution poses a major environmental and economic challenge in Thai-land, increasing health risks and lowering property values. While its health effects are well-documented, its impact on housing prices is less understood. This study uses a two-stage hedonic pricing model (HPM) and 2023–2024 housing...

Eye-tracking and pupil variation have amassed significant interest in the advancement of user-centric, personalized recommendation systems, offering critical insights into user preferences and improving engagement to boost e-commerce. This paper analyses existing systems on gaze-based interaction, fixation...

This study focuses on the role of Brand Blooming strategies that contribute to brand sustainability of existing brands in Thailand, which consists of brand positioning, customer loyalty, and incremental brand expansion. The descriptive analysis was based on a quantitative, cross-sectional questionnaire...

TikTok’s rise as a key platform for viral marketing is largely due to its use of artificial intelligence (AI) to deliver personalized content tailored to each user. In Thailand, social media significantly impacts daily life, making hyper-personalized marketing strategies crucial for brands trying to...

In Thailand’s fast-paced digital world, viral marketing has become a go-to strategy for brands looking to connect with Gen Z consumers. This study explores how Integrated Marketing Communication (IMC), guided by the AIDA model (Attention, Interest, Desire, Action) and the Technology Acceptance Model...

This study investigates how specific Human Resource Management (HRM) practices—namely training, career development, performance management, and reward systems—affect employee motivation and job performance in Zimbabwe’s banking sector. Utilizing a quantitative approach, data were collected from 384 respondents...

As global populations continue to live longer, understanding what drives longevity has become increasingly important for policymakers. This study investigates the impact of government healthcare expenditure and GDP per capita on life expectancy across 151 countries from 2002 to 2021. Using panel data...

In Thailand’s fast-evolving digital economy, small and medium-sized enterprises (SMEs) face growing pressure to stay competitive and connected to their customers. As Artificial Intelligence (AI) becomes more accessible, it offers SMEs new ways to strengthen brand identity and com-. This study examines...

Many experts and researchers are currently engrossed in improving wireless networks and systems by introducing effective protocols, architectures, services, or applications. Thus, the requirements of the various stakeholders in network design, operation, and deployment can be fulfilled. The main objective...

Alterations in the KMT2D or KDM6A genes, which play a role in regulating gene expression, lead to Kabuki syndrome, a rare genetic disorder. Individuals with Kabuki syndrome often face learning difficulties, ranging from mild to severe intellectual disabilities, as well as developmental delays. The diagnosis...

Sleep disturbances have become increasingly prevalent, prompting interest in alternative remedies for improving sleep quality. This study evaluates the effectiveness of the Suksaiyad recipe—a traditional Southeast Asian herbal formulation—on sleep quality using the pittsburgh sleep quality index (PSQI)....

Anxiety disorders and PTSD place substantial burdens on individuals and healthcare systems. Traditional exposure therapy demonstrates efficacy but presents limitations in safety, ecological validity, and patient adherence. VRET leverages immersive 3D environments to provide controlled, repeatable exposure....

A chronic, non-communicable brain illness, epilepsy affects about 50 million people globally. Electroencephalography is one of the screening techniques that have been developed to detect epileptic episodes. EEG data provide vital information on the electrical activities of the brain and are often used...

Prediction of heart disease in elderly populations represents a significant challenge in healthcare. This study develops a logistic regression model to predict heart disease in patients aged 65 and older using a dataset of 273 samples. Features include cholesterol (binned into low and high), smoking...

This study investigates the influence of community chronic disease follow-up on the longevity of the elderly in Chengdu, China using a case study design. With the accelerating aging population and high prevalence of chronic diseases among the elderly, which significantly impact health and life expectancy,...

With the increasing prominence of the aging population, it is of great significance to explore effective means to delay the sense of aging of the elderly and promote their longevity. Based on this, this study aims to explore the basic situation of physical activities and the impact of physical activities...

Recent advancements in the Internet of Things (IoT) and cloud computing have enabled the development of efficient, deployable solutions for remote healthcare monitoring. This paper presents a real-time e-healthcare monitoring system that integrates IoT-enabled sensors, an ESP32 microcontroller, cloud...

A real-time fitness watch analyzer is introduced which is leveraged on the NVIDIA Jetson Nano board. It is specially designed for individualized health monitoring with a focus on heart rate anomaly detection and sleep quality estimation. A Contractive Autoencoder (CAE) was used to identify anomalies...

Toxigenic mold-contaminated food is a serious health concern, especially among the elderly and visually impaired who cannot detect it in its early stages. Bread is highly susceptible to mold and usually does not exhibit visible or olfactory appearance in early stages. This paper describes a accurate...

An anti-aging traditional Chinese medicine (TCM) compound emulsion was prepared using Salviae Miltiorrhizae Radix as the main ingredient. Human trials showed significant improvements: 76% increased stratum corneum water content, 42% reduced transepidermal water loss (TEWL), 15% lower F4 value, and 17%...

Indonesia has entered a period of aging population, with Yogyakarta Province as one of the regions with the highest percentages of elderly population. Research has indicated that 25.7% of the elderly experience disabilities, which may have implications for their quality of life. Self-acceptance is a...

This investigation probes mechanisms intrinsic to professional development and their influence upon awareness regarding mental well-being and longevity among teachers in China’s vocational institutes. With a mixed-method approach adopted, the study entails both quantitative surveys (N = 302) and qualitative...

This study aims to explore the relationship between life motivation and quality of life among the long-lived population in Chengdu, China. By searching Chinese academic databases, government statistical materials, and social media information, the paper categorizes types of life motivation, assesses...

Fear of getting old is becoming a bigger problem in Bangladesh now. With more cities growing, families changing, and society’s views shifting, older people are facing different kinds of challenges. Growing old brings fears about losing health, being alone, and having no money, which can hurt the mental...

The ongoing global aging trend poses dual challenges to the physical and mental health of older adults. This study aims to examine the impact of community aquatic activities on the mental health and social connections of older adults. Through administering surveys to 200 participants, conducting data...

This study explored the role of second language acquisition as a lifelong learning strategy for enhancing social participation and wellbeing among older adults. It employed the qualitative research design and analyzed the data using a thematic analysis approach. Due to the relatively small population...

This paper examines the benefits of habit formation and social interaction for older adults in senior universities (老年大学 lǎonián dàxué) in China. With China’s rapidly ageing population, senior universities provide educational opportunities that promote lifelong learning, skill development, and social...

The Sichuan-Chongqing region is located in southwestern China, encompassing the Sichuan Basin and its surrounding areas. Its unique geographical location and rich historical and cultural heritage make it a region of great charm. Here, one can find magnificent natural landscapes, diverse ethnic cultures,...

This study explores the status, challenges, and development strategies for community elderly education in the digital age through a case study of five Chengdu communities. Integrating mixed-methods data—including surveys (n = 186), in-depth interviews (10 participants), and detailed case analysis—we...

China is aging rapidly, with one in every five citizens projected to be over the age of 65 by 2035 [1]. This shift represents one of the most profound demographic transformations in human history. The implications are vast, affecting health systems, economic productivity, and social structures. Despite...

With the continuous progress of the economy and society and the increasingly severe phenomenon of population aging, the care of the middle-aged and elderly employees in private colleges and universities has attracted more and more attention. Based on Maslow‘s hierarchy of needs theory, this study discusses...

Formulas for body fat percentage such as the Siri and U.S. Navy methods require multiple measurements or assumptions about body density, making them less practical in everyday settings. Therefore, Body Mass Index (BMI) has been widely used to estimate obesity and body fat pacentage; however BMI’s accuracy...

Image segmentation plays a vital role in real-time medical image processing and is an important technique used in disease diagnosis allowing fast and accurate analysis of medical images. Field Programmable Gate Array (FPGA) is one of the prototyping platforms for implementing image segmentation operation...

In this research, it proposes a snake species identification AI model based on MobileNetV2 to aid in the prompt medical treatment of snake bites. The dataset consists of 1014 reptile images comprising images from 10 snake species. The performance per-class was measured using precision, recall and F1-score....

From an age perspective, the brain changes based on thinking and processing information. The study in this case presents the EEG brainwave patterns in 109 samples, each for one thousand outcomes, ranging from 18 to 83 years old. The signals from the different regions of the brain, like frontal, central,...

Sleep Stage Classification (SSC) is very important for analyzing different sleep disorders, such as sleep apnea, insomnia, and narcolepsy. Traditional SSC technique’s performance is limited due to complex network topology, class imbalance problems, lower feature discrimination, inferior long-term dependency,...

Speech Emotion Recognition (SER) has gained significant attention in recent years due to its broad range of applications in areas such as human-computer interaction, mental health monitoring, virtual assistants, and customer service. Accurately recognizing human emotions from speech signals can greatly...

The convergence of traditional healthcare and modern AI offers a unique opportunity to improve access to ancient systems like Ayurveda. We present AyurSanvaad, a multilingual RAG-based chatbot that delivers contextually accurate and semantically faithful Ayurvedic responses. It integrates a lightweight...

This research presents a Geographic Information System (GIS)-based decision-support platform for optimizing site selection and expansion strategies across food and industrial sectors. The system integrates spatial and non-spatial data — such as foot traffic, demographic density, infrastructure access,...

With the intensification of aging, improving quality of life and extending lifespan have become critical demands, driving the emergence of relevant technologies. This study develops an evolutionary game model involving the government, emerging technology enterprises, and the user market, incorporating...

Technological developments, particularly in the field of Information and Community Technology (ICT), have made it possible for Higher Education Institutions (HEIs) to adopt digital technologies that enhance education, research, and community service. These three components are interrelated in higher...

In the context of increasing industrial automation and demographic shifts toward aging populations, there is a growing need for systems that enhance operational efficiency while addressing workforce longevity and healthcare logistics. This paper presents a size-based object counting system that leverages...

As deep fake generation techniques evolve, detecting manipulated content across multiple modalities has become increasingly important to safeguard against their misuse. This paper presents a vision based deep fake detection system that leverages the power of pre-trained transformer models to analyze...

This paper presents the design and simulation of a coplanar waveguide (CPW)-fed octagonal loop antenna using Ansys HFSS, specifically tailored for Internet of Things (IoT)-based healthcare applications. The proposed antenna operates over an extensive frequency range of 2.25–9.7 GHz, making it suitable...

This paper provides a review on low power design techniques for Field Programmable Gate arrays (FPGAs). Application of each technique is targeted towards portable devices required for day-to-day life. It also provides recent trends and techniques for low power devices. It mentions the future work for...

This paper presents the design and development of a Flutter-based chatbot application tailored for CNC (Computer Numerical Control) machine operators in the manufacturing industry. Developed in collaboration with an industrial sponsor, the system integrates IoT-driven telemetry data collection with real-time...

The majority of old people who live unaccompanied in their own home typically do not get any attention. They are susceptible to falls and are often unconscious in emergencies after the fall. This leads to both fatal and nonfatal emergencies. Therefore, alert or immediate medical help can reduce the adversity...

Climate is a chaotic one in nature and its variability incorporates rising temperatures, unpredictable rainfall, storms, and other weather parameters disrupting life, all living beings. Traditional meteorological forecasting methods often struggle to model complex and nonlinear climate patterns, highlighting...

This paper introduces a RAG system for extracting semantically meaningful information from PDFs and DOCX documents. It employs a Retriever with Gemini Embeddings and FAISS indexing, and a Generator on top of Gemini 2.0 Flash for context-aware, rapid response. Evaluated on 30 documents, the system is...