A survey on smart shoe insole systems

Saidani, Salma; Haddad, Rim; Mezghani, Neila; Bouallègue, Ridha

doi:10.1109/smartnets.2018.8707391

Cited by 15 publications

(5 citation statements)

References 10 publications

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“…The sensor fusion can be performed at three levels: signal level [135,136], feature level [103,104] and decision level [103,104]. In signal level fusion, preprocessed signals from different sensors are combined using several techniques such as weighted averages, complementary filter, Kalman filter and particle filtering to obtain usable features for further analysis.…”

Section: Data Analysis: Sensor Fusion Prediction and Decision Makingmentioning

confidence: 99%

Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges

Subramaniam

Majumder

Faisal

et al. 2022

Sensors

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Wearable health monitoring devices allow for measuring physiological parameters without restricting individuals’ daily activities, providing information that is reflective of an individual’s health and well-being. However, these systems need to be accurate, power-efficient, unobtrusive and simple to use to enable a reliable, convenient, automatic and ubiquitous means of long-term health monitoring. One such system can be embedded in an insole to obtain physiological data from the plantar aspect of the foot that can be analyzed to gain insight into an individual’s health. This manuscript provides a comprehensive review of insole-based sensor systems that measure a variety of parameters useful for overall health monitoring, with a focus on insole-based PPD measurement systems developed in recent years. Existing solutions are reviewed, and several open issues are presented and discussed. The concept of a fully integrated insole-based health monitoring system and considerations for future work are described. By developing a system that is capable of measuring parameters such as PPD, gait characteristics, foot temperature and heart rate, a holistic understanding of an individual’s health and well-being can be obtained without interrupting day-to-day activities. The proposed device can have a multitude of applications, such as for pathology detection, tracking medical conditions and analyzing gait characteristics.

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Section: Data Analysis: Sensor Fusion Prediction and Decision Makingmentioning

confidence: 99%

Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges

Subramaniam

Majumder

Faisal

et al. 2022

Sensors

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“…Other approaches use pressure or force sensors, either as wearables, e.g. integrated in socks or insoles [19][20][21] or as ambient sensors, e.g. integrated into sensor carpets [22] or treadmills [23].…”

Section: State Of the Artmentioning

confidence: 99%

Untitled

2021

IJU

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A continuous monitoring of the physical strength and mobility of elderly people is important for maintaining their health and treating diseases at an early stage. However, frequent screenings by physicians are exceeding the logistic capacities. An alternate approach is the automatic and unobtrusive collection of functional measures by ambient sensors. In the current publication, we show the correlation among data of ambient motion sensors and the well-established mobility assessments Short-Physical-Performance-Battery, Tinetti and Timed Up & Go. We use the average number of motion sensor events as activity measure for correlation with the assessment scores. The evaluation on a real-world dataset shows a moderate to strong correlation with the scores of standardised geriatrics physical assessments.

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“…Other approaches use pressure or force sensors, either as wearables, e.g. integrated in socks [17] or insoles [18] or as ambient sensors, e.g. integrated into sensor carpets [19] or treadmills [20].…”

Section: State Of the Artmentioning

confidence: 99%

Assessing the Mobility of Elderly People in Domestic Smart Home Environments

Friedrich¹,

Steen²,

Fudickar³

et al. 2020

Computer Science &Amp; Information Technology (CS &Amp; IT)

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A continuous monitoring of the physical strength and mobility of elderly people is important for maintaining their health and treating diseases at an early stage. However, frequent screenings by physicians are exceeding the logistic capacities. An alternate approach is the automatic and unobtrusive collection of functional measures by ambient sensors. In the current publication, we show the correlation among data of ambient motion sensors and the wellestablished mobility assessment Short-Physical-Performance-Battery and Tinetti. We use the average number of motion sensor events for correlation with the assessment scores. The evaluation on a real-world dataset shows a moderate to strong correlation with the scores of standardised geriatrics physical assessments.

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A survey on smart shoe insole systems

Cited by 15 publications

References 10 publications

Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges

Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges

Untitled

Assessing the Mobility of Elderly People in Domestic Smart Home Environments

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