Wearable Sweat Rate Sensors for Human Thermal Comfort Monitoring

Sim, Jai Kyoung; Yoon, Sunghyun; Cho, Young-Ho

doi:10.1038/s41598-018-19239-8

Cited by 76 publications

(59 citation statements)

References 41 publications

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“…A GSR sensor system has two components: the conductive electrodes to make contact with the skin and the electronic board to measure the skin conductance between two electrodes [134]. Another sweat rate sensor design concept proposed in [135] had two parts: the humidity chamber and the humidity sensors. Sweat-induced skin humidity is collected in the chamber and the humidity sensors are used to measure the humidity.…”

Section: Sensors and Technologiesmentioning

confidence: 99%

Monitoring Methods of Human Body Joints: State-of-the-Art and Research Challenges

Faisal

Majumder

Mondal

et al. 2019

Sensors

133

100

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The world’s population is aging: the expansion of the older adult population with multiple physical and health issues is now a huge socio-economic concern worldwide. Among these issues, the loss of mobility among older adults due to musculoskeletal disorders is especially serious as it has severe social, mental and physical consequences. Human body joint monitoring and early diagnosis of these disorders will be a strong and effective solution to this problem. A smart joint monitoring system can identify and record important musculoskeletal-related parameters. Such devices can be utilized for continuous monitoring of joint movements during the normal daily activities of older adults and the healing process of joints (hips, knees or ankles) during the post-surgery period. A viable monitoring system can be developed by combining miniaturized, durable, low-cost and compact sensors with the advanced communication technologies and data processing techniques. In this study, we have presented and compared different joint monitoring methods and sensing technologies recently reported. A discussion on sensors’ data processing, interpretation, and analysis techniques is also presented. Finally, current research focus, as well as future prospects and development challenges in joint monitoring systems are discussed.

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Section: Sensors and Technologiesmentioning

confidence: 99%

Monitoring Methods of Human Body Joints: State-of-the-Art and Research Challenges

Faisal

Majumder

Mondal

et al. 2019

Sensors

133

100

View full text Add to dashboard Cite

show abstract

“…Considerable research into ways to continuously monitor perspiration has been carried out, given that it is a symptom common to many diseases and conditions [54]. Researchers have investigated both sweat flux and the presence of anomalies; however, despite promising studies [55], no continuous perspiration monitoring solution has yet advanced beyond prototype stage.…”

Section: Perspirationmentioning

confidence: 99%

An Autonomous Alarm System for Personal Safety Assurance of Intimate Partner Violence Survivors Based on Passive Continuous Monitoring through Biosensors

et al. 2020

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Intimate Partner Violence (IPV) dramatically compromises the free and complete development of many women around the world, therefore leading to social asymmetry regarding the right to personal safety. In many cases, a woman who has reported her partner to police for gender-based violence needs to ensure her protection (either before the trial of the aggressor or after their freedom). Thus, it would be ideal if autonomous alarm systems could be developed in order to call the police if necessary. Up to now, many proposals have been presented in this regard, including solutions based on Information and Communication Technologies (ICT) but, unfortunately, these approaches usually rely on the active participation of the victims (survivors), who have to turn the system on by themselves if needed. Therefore, in order to overcome such limitations, in this work, a passive continuous monitoring system is proposed which uses biosensors attached to the survivor as well as machine learning techniques to infer if an abnormal situation related to gender-based violence is taking place, activating in this case an alarm. The monitoring structure of the system supervises a great deal of bio-signals according to the current status of technology of wearables and biomedical devices. The presented biosensors-based surveillance solution can also be manually disconnected for 30/60/90 min (on demand) in order to avoid false positives when a woman is, for example, practicing sports or carrying out other inoffensive activities that could incorrectly activate the alarm.

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“…Sweat-rate sensors [40] can monitor the human thermal status and has been required for many wearable devices to check the user's physiological conditions. FIGURE 3 shows the structure of a wearable sweat rate sensor.…”

Section: A a Sweat-rate Sensormentioning

confidence: 99%

“…The time response of each measurement is generally considered as the critical performance for the sweat-rate sensors. It is formulated as [40]…”

Section: A a Sweat-rate Sensormentioning

confidence: 99%

Robust Optimization for Micromachine Design Problems Involving Multimodal Distributions

et al. 2019

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The conventional robust optimization methods usually focus on problems with unimodal random variables. In real applications, input random variables may follow multimodal distributions with multiple peaks in their probability density. When multimodal random variables are involved, the conventional methods, such as the mean-variance-based methods, will be not accurate. This paper presents an efficient robust optimization method, which provides a potential computational tool for engineering problems involving multimodal random variables. A robustness metric is formulated by introducing the concept of accepting/rejecting the limit to calculate the failure probability of the performance response, which can directly capture the multimodal characteristics of the performance. A second-order higher moment method is presented to efficiently conduct the probability calculation in the inner loop of design optimization. The proposed decoupling strategy drives the probability calculation and the design optimization sequentially and alternately. This method is applied to the three micromachine design problems, including a sweat-rate sensor, a piezoelectric sensor, and an image sensing module. The numerical results show that the method has excellent engineering practicality due to the comprehensive performance in terms of efficiency, accuracy, and convergence.

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Wearable Sweat Rate Sensors for Human Thermal Comfort Monitoring

Cited by 76 publications

References 41 publications

Monitoring Methods of Human Body Joints: State-of-the-Art and Research Challenges

Monitoring Methods of Human Body Joints: State-of-the-Art and Research Challenges

An Autonomous Alarm System for Personal Safety Assurance of Intimate Partner Violence Survivors Based on Passive Continuous Monitoring through Biosensors

Robust Optimization for Micromachine Design Problems Involving Multimodal Distributions

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