Tseng et al. (2013) developed an intelligent health monitoring system tailored for elderly individuals with low information literacy living in the nursing home. The system employs clinical and medical knowledge to monitor the health status of the elderly, featuring a user-friendly interface and automatic feedback to caregivers (Tseng et al., 2013). In the big data era, efficient information technology infrastructures are necessary to support real-time applications. Heilig et al. (2015) introduced a novel approach that applies scalable and cost-efficient cloud infrastructures based on model predictive control structures in intelligent transport systems. Jiang et al. (2016) presented a big data solution employing wearable sensors for continuous monitoring of the elderly. The system alerts caregivers when necessary, forwarding pertinent information to a big data system for analysis. Jin et al. (2016) proposed a human-centric framework, Ubi-Liven, for the safe and secure integration of cyber-enabled ubiquitous holistic living support systems with physical living environments. They further addressed design and technical issues, utilizing cloud, the internet of things (IoT), and big data analytics to provide holistic support for the elderly’s activities and healthcare.
Zeyu et al. (2017) focused on analyzing the feasibility of model studies based on noisy trajectory data collected by cell phone for intelligent transportation systems (ITS). Lee et al. (2019) developed an intelligent tool condition monitoring system for smart manufacturing, identifying sustainability-related manufacturing tradeoffs and optimal machining conditions. Marinakis et al. (2020) proposed a high-level architecture of a big data platform for smart energy services, supporting energy managers and city authorities.
Kaffash et al. (2021) provided a a comprehensive review of applications and recognized models using big data in the context of ITS. Zeng and Liang (2022) developed a
smart nursing system for the elderly, demonstrating accurate identification of their living situations at home through algorithmic simulation tests. Wang and Hsu (2023) explored intelligent healthcare systems integrating healthcare with long-term care institutions, providing comprehensive communication and home exposure reports, and the involvement of rehabilitation specialists and other experts. The integrated intelligent long-term care service management system focuses on building a personalized care service system for the elderly, encompassing health, nutrition, diet, and health education aspects.