Recent Advances in Quantitative Gait Analysis using Wearable Sensors: A Review

A workplace that is a conduit for positive emotions can be important to employees retention and can contribute optimal levels of productivity. Validated tools for examining emotions are primarily subjective and retrospective in nature. Recent advances in technology have led to more novel and passive ways of measuring emotions. Wearable sensors, such as electroencephalogram (EEG), are being explored to assess cognitive and physical burdens objectively and in real-time. Therefore, there exists a need to investigate and validate the use of EEG to examine emotions objectively and in real-time. In this paper, we conducted a scoping review of EEG to measure positive emotions and/or indicators of joy in the workplace. Our review results in 22 articles that employ EEG to study joy in occupational settings. Three major themes identified in the analysis include (1) EEG for symptoms detection and outcomes, (2) Populations studied using EEG, and (3) EEG electrode systems.

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Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review

Sensors ◽

10.3390/s21082727 ◽

2021 ◽

Vol 21 (8) ◽

pp. 2727

Author(s):

Hari Prasanth ◽

Miroslav Caban ◽

Urs Keller ◽

Grégoire Courtine ◽

Auke Ijspeert ◽

...

Keyword(s):

Systematic Review ◽

Gait Analysis ◽

Real Time ◽

Wearable Sensors ◽

Pressure Sensors ◽

Clinical Applications ◽

Performance Comparison ◽

Heel Strike ◽

Rule Based ◽

Pathological Gait

Gait analysis has traditionally been carried out in a laboratory environment using expensive equipment, but, recently, reliable, affordable, and wearable sensors have enabled integration into clinical applications as well as use during activities of daily living. Real-time gait analysis is key to the development of gait rehabilitation techniques and assistive devices such as neuroprostheses. This article presents a systematic review of wearable sensors and techniques used in real-time gait analysis, and their application to pathological gait. From four major scientific databases, we identified 1262 articles of which 113 were analyzed in full-text. We found that heel strike and toe off are the most sought-after gait events. Inertial measurement units (IMU) are the most widely used wearable sensors and the shank and foot are the preferred placements. Insole pressure sensors are the most common sensors for ground-truth validation for IMU-based gait detection. Rule-based techniques relying on threshold or peak detection are the most widely used gait detection method. The heterogeneity of evaluation criteria prevented quantitative performance comparison of all methods. Although most studies predicted that the proposed methods would work on pathological gait, less than one third were validated on such data. Clinical applications of gait detection algorithms were considered, and we recommend a combination of IMU and rule-based methods as an optimal solution.

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Quantitative gait analysis in patients with dementia with Lewy bodies and Alzheimer's disease

Gait & Posture ◽

10.1016/j.gaitpost.2006.10.006 ◽

2007 ◽

Vol 26 (3) ◽

pp. 414-419 ◽

Cited By ~ 34

Author(s):

John R. Merory ◽

Joanne E. Wittwer ◽

Christopher C. Rowe ◽

Kate E. Webster

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Gait Analysis ◽

Dementia With Lewy Bodies ◽

Lewy Bodies ◽

Quantitative Gait Analysis

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Recent Advances in Wearable Devices for Non-Invasive Sensing

Applied Sciences ◽

10.3390/app11031235 ◽

2021 ◽

Vol 11 (3) ◽

pp. 1235

Author(s):

Su Min Yun ◽

Moohyun Kim ◽

Yong Won Kwon ◽

Hyobeom Kim ◽

Mi Jung Kim ◽

...

Keyword(s):

Health Monitoring ◽

Data Transmission ◽

Wearable Sensors ◽

Wearable Devices ◽

Wireless Power ◽

Non Invasive ◽

Sensing Systems ◽

Recent Advances ◽

Wearable Systems ◽

Precise Diagnosis

The development of wearable sensors is aimed at enabling continuous real-time health monitoring, which leads to timely and precise diagnosis anytime and anywhere. Unlike conventional wearable sensors that are somewhat bulky, rigid, and planar, research for next-generation wearable sensors has been focused on establishing fully-wearable systems. To attain such excellent wearability while providing accurate and reliable measurements, fabrication strategies should include (1) proper choices of materials and structural designs, (2) constructing efficient wireless power and data transmission systems, and (3) developing highly-integrated sensing systems. Herein, we discuss recent advances in wearable devices for non-invasive sensing, with focuses on materials design, nano/microfabrication, sensors, wireless technologies, and the integration of those.

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