CHAPTER I
CHAPTER I
THE PROBLEM AND ITS BACKGROUND
Introduction
Introduction
Mobility impairment remains one of the most persistent barriers to independence, productivity, and social participation among individuals with physical disabilities globally. According to global disability reports, millions of people rely on wheelchairs as their primary mode of mobility, yet many still struggle due to the limitations of conventional manually operated wheelchairs. Traditional wheelchairs demand continuous physical exertion, upper-body strength, and coordinated arm movement-requirements that many users, especially those with neuromuscular disorders, cardiovascular limitations, or age-related weakness, may not be able to meet consistently. As a result, users frequently encounter reduced mobility, dependence on caregivers, and decreased quality of life. The challenge becomes even more critical in countries where access to specialized assistive devices remains financially and technologically limited.
According to Sathananthan et al., it reveals that Manual Wheelchair users experience psychological impacts, such as hesitation to be seen in a wheelchair and concerns about self-image, leading to reluctance to go outside. Additionally, users face difficulties with basic propulsion skills, physical demands, learning curves, and navigational challenges, often requiring significant effort, especially when dealing with uneven surfaces or inclines. These problems and concerns often restrain the individual's freedom.
Over the years, technological advancement in terms of assistance in different fields have undergone a massive transformation over the past decades playing a vital role in the fields of medical care, recovery and rehabilitation. The development of advanced assistive devices has been driven by the global movement towards human accessibility, inclusivity, and independence for individuals with mobility issues. Despite technological advancements, various traditional mobility aids, especially manual and electric wheelchairs, often lack advanced systems that address multiple measurements of patient assistance. According to global disability reports, millions of people rely on wheelchairs as their primary mode of mobility, yet many still struggle due to the limitations of conventional manually operated wheelchairs. Traditional wheelchairs demand continuous physical exertion, upper-body strength, and coordinated arm movement-requirements that many users, especially those with neuromuscular disorders, cardiovascular limitations, or age-related weakness, may not be able to meet consistently. As a result, users frequently encounter reduced mobility, dependence on caregivers, and decreased quality of life. The challenge becomes even more critical in countries where access to specialized assistive devices remains financially and technologically limited.
People with needs in terms of mobility, to those individuals with conditions such as neuromuscular disorders, spinal cord injuries, stroke-related impairments, and limb disabilities, often experience challenges not only in mobility but also with continuous health monitoring and medication needs. The insufficient component of built-in monitoring systems in traditional wheelchairs created gaps in safety and increased the risk of unnoticed health fluctuations. An example of this is that heart-related irregularities can go undetected without the presence of proper monitoring tools that can potentially lead to serious situations. Additionally, management in medication schedules can serve as difficulties for patients with cognitive challenges, memory issues, or limited caregiver supervision.
Because of this problem, the emergence of factors that affect humanity's technological advancement has been largely focused on the component's practicality. One of this is the increasing accessibility of microcontrollers, open-source systems, and modular sensors-in particular to Arduino-based software-has strengthened innovations of new opportunities in redesigning robotic-centered devices for assistance, and care. Arduino enables the development of low-cost, customizable,
adaptable, and multifunctional components, presenting it as a preferred platform for software developers, engineers, and researchers aiming to address specific user needs. Components such as voice recognition modules, ECG sensors, servo motors, and automated dispensing systems can be integrated into various designs (simple - complex), developing multifunctional assistive technologies that improve both the mobility and health management.
Additionally, the emergence of voice-based technologies has been an essential innovation for individuals with limited hand mobility. Through the usage of speech recognition, commands for devices to perform specific movements have been made possible. This capability is especially beneficial for patients who struggle to operate joystick-controlled and touch-controlled wheelchairs due to muscle weakness or motor impairment. By integrating voice control into wheelchairs, mobility becomes more open and accessible, reducing reliance on caregivers and improving the user's autonomy.
Equally important is the incorporation of biomedical sensors, such as ECG devices, directly into mobility aids. ECG sensors provide real-time monitoring of heart activity, allowing for early detection of unusual patterns such as arrhythmias or abnormal heart rates. When integrated into a wheelchair, ECG systems offer continuous health surveillance, thereby reducing the risks associated with undetected cardiovascular issues. This feature is particularly significant for elderly users and individuals with pre-existing heart conditions.
Medication management is another critical aspect of daily care for individuals with chronic illnesses or mobility limitations. A medicine sorter integrated into a wheelchair can automate the process of organizing and dispensing medicine doses at predetermined intervals. This minimizes the possibility of missed doses, incorrect medicine intake, or medication confusion-issues commonly faced by vulnerable populations. The combination of automation and mobility integration enables users to maintain independence while ensuring safety.
According to Rani et al., many conventional wheelchairs are expensive and lack enhanced medical features, which led to the creation of an Arduino-based prototype that operates through Bluetooth-enabled, voice-activated, hand gesture, and eye-blink controlled wheelchair that support users with mobility impairment. This highlights the limited health feature of traditional wheelchairs and directly connects to our study, which aims to develop an Arduino-based multipurpose wheelchair that enhances innovative health-focused components by incorporating Voice Motion Commands, ECG Monitoring, and a Smart Medication Sorting System.
By merging these three essential functions-voice-controlled movement, ECG monitoring, and automated medicine sorting-an Arduino-based intelligent wheelchair presents a comprehensive solution to multiple everyday challenges faced by persons with disabilities. Such a system demonstrates the potential of assistive technology not only to enhance mobility but also to support holistic healthcare needs. More importantly, it underscores the idea that assistive devices should not be limited to basic function but should evolve toward multifunctional systems capable of addressing physical, medical, and cognitive dimensions of disability
The present study explores the development and evaluation of such an innovative prototype. Recognizing the limitations of traditional wheelchairs and the growing scope of embedded medical technologies, this research aims to create a fully integrated, cost-effective, and user-friendly assistive device that enhances mobility and patient care. Through continuous monitoring, automated medicine management, and handsfree navigation, the proposed system seeks to improve quality of life, reduce caregiver burden, and promote technological inclusivity.