A Smart Chair for Health Monitoring in Daily Life
Nguyen Thi Minh Huong, Vo Quoc Bao, Nguyen Trung Hau, Huynh Quang Linh

TL;DR
This paper introduces a smart chair system that monitors sitting posture and heart rate in real-time, using embedded sensors and machine learning, to promote healthier sitting habits especially for office workers.
Contribution
It presents a novel integrated device combining pressure sensors and PPG modules with machine learning for accurate posture and heart rate monitoring.
Findings
Achieved 99% accuracy in posture classification.
Demonstrated real-time display of posture and heart rate on external devices.
Validated ECG module against commercial devices.
Abstract
Recent research has focused on the risks associated with poor sitting posture and the impact of sitting on biological parameters, such as heart rate because prolonged sitting is common across all ages and professions. In this work, we propose a novel approach that can display simultaneously posture and heart rate in real-time. In this device, pressure sensors are embedded into a flexible separate cushion easily put on any chair to provide sitting behaviours and a smartwatch-like PPG module is worn on the user's wrist. Regarding posture classification, pressure figures of ten pressure sensors under the seat bottom are inputs of four machine learning models, giving a high accuracy of 99 per cent. Besides, the Electrocardiography recording module is illustrated with the same results as a commercial device called DFRobot. Another advantage of this smart chair is that it not only…
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Taxonomy
TopicsIoT-based Smart Home Systems
