An Approach to Optimize Multiple Design Objectives With Qualitative and Quantitative Criteria for a Wearable Body Sensor System

Falch, Lucas; Silva, Clarence W. de

doi:10.1109/jsen.2018.2871676

Cited by 4 publications

(1 citation statement)

References 18 publications

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“…This realization underscores the necessity for a more nuanced approach in wearable design, factoring in both the quantity and placement of devices to enhance overall wearability [13]. Ergonomic considerations and social acceptability also emerge as crucial elements in this discourse, potentially serving as catalysts in advancing wearability research [14].…”

Section: Current Algorithm Analysismentioning

confidence: 99%

Comfort Prediction Method for Wearable Devices: Current Progress and Future Direction

Lin,

Chen

2024

AETR

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Falls constitute a significant health risk, particularly among the elderly, thus prompting the introduction of various wearable devices capable of fall detection. However, the majority of these devices prioritize accuracy over wearer comfort, which significantly influences user adherence and, by extension, the broader development of wearable technologies. Addressing this oversight, this review first summarizes the current methods for predicting the comfort of wearable devices, evaluating them in terms of feasibility and accuracy, reliability and effectiveness, as well as safety and privacy. Subsequently, building upon the evaluation of existing methods, this review proposes a predictive solution based on the XGBoost algorithm.

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Section: Current Algorithm Analysismentioning

confidence: 99%