Ambulant: The Medically Advanced Electric Helper

Abstract

Over the years, the challenges faced by senior citizens and disabled individuals highlight a significant issue—limited access to essential medical and emotional assistance. Our project presents a cost-effective, medically advanced electric mobility helper, integrating joystick, phone, and gesture control for movement, communication aids for the hearing and speech impaired, real-time health monitoring, AI-powered diagnostic tools, and entertainment functionalities. It aims to significantly improve quality of life by offering both mobility and emotional support.

Introduction

Objective

The project aims to restore independence and improve quality of life for senior citizens and individuals with disabilities through Ambulant—a smart, multi-functional electric mobility aid. Unlike traditional devices, Ambulant integrates AI/ML frameworks, modern controls, and health monitoring to support a wide range of physical, sensory, and cognitive challenges.

Core Frameworks and Functional Modules

1. Walking Aid Framework (W.A.F)

• Three control modes: joystick (manual), mobile app (remote), and gesture-based (for paralyzed users).

• Enables inclusive mobility for users with varying levels of motor control.

2. Hearing Aid Framework (H.A.F)

• Real-time text-to-screen communication via QR-based mobile interface.

• Uses AI translation for accent and language accuracy, aiding deaf and hard-of-hearing users.

3. Speaking Aid Framework (S.A.F)

• Allows mute/speech-impaired users to type messages via a keypad.

• Learns from user habits using predictive AI, helping those with memory loss or dementia.

4. Visual Aid Framework (V.A.F)

• Ultrasonic sensors detect nearby obstacles.

• Alerts users via vibration; slows or stops the device using AI if hazards are ignored.

5. HealthCare Framework (H.C.F)

• Monitors heart rate and ECG in real-time.

• Logs data in Excel; alerts caregivers on detecting irregularities like arrhythmias.

6. AI/ML Aid Framework (A.M.A.F)

• Uses computer vision for:

  • Skin disease detection

  • Fracture identification

  • Posture/fall detection

• Sends diagnostic reports to family doctors for early intervention.

7. Entertainment Framework (E.T.F)

• Integrated voice assistant provides music, news, and communication features.

• Supports mental health and emotional well-being by reducing loneliness.

Conclusion

Ambulant introduces a new paradigm in assistive technology by integrating various frameworks into one compact, affordable unit. It supports independent mobility, proactive health monitoring, and emotional support, making it a transformative tool for improving the lives of elderly and disabled individuals.

References

[1] Arati S.N., Ambika B., Divya K., Gayathri A., Nidhi S., “Bluetooth Technology - Architecture, Applications, and Issues: A Literature Survey,” IRJET, vol. 7, no. 12, Dec. 2020. [2] LilyPad Arduino, \'LilyPad Arduino\', 2015. [Online]. Available: http://lilypadarduino.org/. [3] Louis Leo, “Working Principle of Arduino and Using it as a Tool for Study and Research.” Int. J. of Control, Automation, Communication and Systems, vol. 1, 2014.

Copyright

Copyright © 2025 Abhishek Singh, Achitya Kushwaha, Suchita Debnath. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.