AidVenture: A Mobile Application Tracker for Lower-Limb Rehabilitation Integrated with Internet-of-Things based Four-Legged Walker

This study introduces a telerehabilitation system for individuals undergoing lower-limb rehabilitation, combining a mobile application and a smart walker. The AidVenture system offers a comprehensive approach to lower-limb rehabilitation to enhance the experience for patients and physical therapists. Extensive validation, which includes rigorous software development and statistical analysis, has proven the system’s effectiveness in monitoring patient progress. The user-centered design integrates advanced features such as tilt and fall detection, ensuring patient safety during exercises. Comprehensive testing has confirmed the system’s robustness and accuracy under real-world conditions, meeting all necessary standards. Additionally, the system’s practicality and readiness for clinical use have been validated through the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) surveys. Functionality tests have affirmed the reliability of all system components and mobile applications. User Acceptance Testing (UAT) further highlighted the system’s usability and performance, with favorable feedback on Wi-Fi connectivity, fall detection, and overall interface design. Results showed positive results from all the functionality and usability testing done in this study.

Authors

Institutions

Publication Details

Published
2024-10-09
DOI
https://doi.org/10.1109/techdev64369.2024.00022
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AidVenture: A Mobile Application Tracker for Lower-Limb Rehabilitation Integrated with Internet-of-Things based Four-Legged Walker

Mary Jane C. Samonte, Din Marvin V. Anave, Jian-Luc Artreaux C. Resari, Tyrone Joshua I. Salaver
Stroke Rehabilitation and Recovery
article

AidVenture: A Mobile Application Tracker for Lower-Limb Rehabilitation Integrated with Internet-of-Things based Four-Legged Walker

Mary Jane C. Samonte, Din Marvin V. Anave, Jian-Luc Artreaux C. Resari, Tyrone Joshua I. Salaver
article en

Abstract

This study introduces a telerehabilitation system for individuals undergoing lower-limb rehabilitation, combining a mobile application and a smart walker. The AidVenture system offers a comprehensive approach to lower-limb rehabilitation to enhance the experience for patients and physical therapists. Extensive validation, which includes rigorous software development and statistical analysis, has proven the system’s effectiveness in monitoring patient progress. The user-centered design integrates advanced features such as tilt and fall detection, ensuring patient safety during exercises. Comprehensive testing has confirmed the system’s robustness and accuracy under real-world conditions, meeting all necessary standards. Additionally, the system’s practicality and readiness for clinical use have been validated through the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) surveys. Functionality tests have affirmed the reliability of all system components and mobile applications. User Acceptance Testing (UAT) further highlighted the system’s usability and performance, with favorable feedback on Wi-Fi connectivity, fall detection, and overall interface design. Results showed positive results from all the functionality and usability testing done in this study.

Mapúa University (PH)
Openalex Percentile: Top 67%
Stroke Rehabilitation and Recovery
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.