A Smart Self-Feeding System for Frail Elderly and Parkinsonian Patients

Authors

  • Tri Cuong Do Institute of Intelligent and Interactive Technologies, University of Economics Ho Chi Minh City, Vietnam
  • Minh Trieu Nguyen Institute of Intelligent and Interactive Technologies, University of Economics Ho Chi Minh City, Vietnam
  • Tri Dung Dang Institute of Intelligent and Interactive Technologies, University of Economics Ho Chi Minh City, Vietnam
  • Truong Thinh Nguyen Institute of Intelligent and Interactive Technologies, University of Economics Ho Chi Minh City, Vietnam
Volume: 15 | Issue: 6 | Pages: 28843-28849 | December 2025 | https://doi.org/10.48084/etasr.12880

Abstract

This paper introduces a self-feeding machine that can help older people and people with Parkinson's disease eat independently, without having to rely on others for assistance. It consists of an index tray, a two-degree-of-freedom grip arm equipped with a spoon, and a mobile application for control, offering a cost-effective and accessible solution. The device uses machine learning to analyze nutritional intake, detect user mouth movements, and estimate calorie consumption. These capabilities enable personalized diet recommendations and real-time adjustments to tray positioning and feeding motions, thereby enhancing patient autonomy. By integrating efficient hardware design and nutritional analytics, CareFeeder represents a promising approach to improving both the independence and overall well-being of individuals with limited mobility.

Keywords:

degrees of freedom, CareFeeder, index tray, self-feeding machine, web server, Vietnamese elders

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References

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How to Cite

[1]
T. C. Do, M. T. Nguyen, T. D. Dang, and T. T. Nguyen, “A Smart Self-Feeding System for Frail Elderly and Parkinsonian Patients”, Eng. Technol. Appl. Sci. Res., vol. 15, no. 6, pp. 28843–28849, Dec. 2025.

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