Enabling Remote Elderly Care: Design and Implementation of a Smart Energy Data System with Activity Recognition

Abstract

Seniors face many challenges as they age, such as dementia, cognitive and memory disorders, vision and hearing impairment, among others. Although most of them would like to stay in their own homes, as they feel comfortable and safe, in some cases, older people are taken to special institutions, such as nursing homes. In order to provide serious and quality care to elderly people at home, continuous remote monitoring is perceived as a solution to keep them connected to healthcare service providers. The new trend in medical health services, in general, is to move from ’hospital-centric’ services to ’home-centric’ services with the aim of reducing the costs of medical treatments and improving the recovery experience of patients, among other benefits for both patients and medical centers. Smart energy data captured from electrical home appliance sensors open a new opportunity for remote healthcare monitoring, linking the patient’s health-state/health-condition with routine behaviors and activities over time. It is known that deviation from the normal routine can indicate abnormal conditions such as sleep disturbance, confusion, or memory problems. This work proposes the development and deployment of a smart energy data with activity recognition (SEDAR) system that uses machine learning (ML) techniques to identify appliance usage and behavior patterns oriented to older people living alone. The proposed system opens the door to a range of applications that go beyond healthcare, such as energy management strategies, load balancing techniques, and appliance-specific optimizations. This solution impacts on the massive adoption of telehealth in third-world economies where access to smart meters is still limited.

Innovative Marketing Strategies in the Digital Age: Leveraging Technology for Market Dominance

“…This valuable information can then be leveraged by heating and cooling companies to offer tailored promotions or provide recommendations aimed at enhancing energy conservation efforts. Similarly, an intelligent refrigerator has the capability to monitor and analyze the shopping behaviors of individuals, allowing grocery stores to deliver personalized offers that align with the consumption patterns of a particular family (Franco et al, 2023). The degree of customization exhibited surpasses conventional marketing strategies.…”

Development and Usability Testing of An Intelligent and Integrated Older Care Model (SMART System) to Promote Integrated Home-based Older Care

“…A crucial aspect of successfully implementing integrated care is customizing care interventions, which hinges on the timely identi cation and accurate diagnoses of care problems via continuous monitoring [13]. However, some issues, such as the scattered residences and heterogeneous conditions of older adults, limited older care resources, and extensive knowledge from diverse elds in older care, make realtime monitoring and accurate diagnoses challenging [14,15]. Moreover, it necessitates collaboration among various care providers from different institutes of social care and healthcare sectors to effectively address the multifaceted care needs of older people [12].…”