Interest in measuring human performance has increased in popularity, driven by a realization of a growing desire for quantitative validation of one’s health that is now conveniently and inex-pensively possible. Advances in semiconductor technology, materials development, and emerg-ing algorithmic platforms (i.e. AI and machine learning) have dramatically increased the quality, lowered the cost and furthered biometric sensor technology. The impetus for this growing field is a new capability for tangible, individualized measurements across multidisciplinary perfor-mance areas and diverse populations of people. The assessment of human performance to enable improvement can apply to anyone from the everyday person to an elite level athlete to military personnel. Wearable sensor technology provides an avenue for collection of quantifying data that medical professionals and sports scientists seek to analyze. For example, wearable sensors can monitor mechanical (velocity, acceleration, distances, impact), physical (heart rate, pulse, oxy-gen saturation, galvanic skin temperature) and chemical signals (analytes from bodily fluids such as sweat or saliva).
The translational value of the wearables sensors field is dependent on the combination of three factors:
1. biomedical sensors market,
2. detected stimuli, and
3. sensor subsets.
While the market dictates the type of sensor to be utilized, the detected stimuli and sensor sub-sets necessitate the required fabrication strategy which enables the detection of the biomarker or physiological stimuli of interest. The impact of translational value is thus governed by the ability to sync the three together in a manner which achieves the desired goal to have a direct impact on the patient. The promise of wearables for human performance monitoring would benefit signifi-cantly from the development of “use cases” that identify progress in product development as well as gaps in technology and that provide an opportunity to engage researchers and readers in new ways with Frontiers.
Submissions are welcome for the following article types: original research, review, mini-reviews, innovative research protocol/method, opinion and hypothesis. We particularly welcome contributions that include, but are not limited to, the following topics:
1. Advanced algorithms for non-invasive vital sign assessment.
2. Novel sensor system development
3. Simulation and modeling strategies for physical and cognitive assessment
4. Novel biomarkers for non-traditional measures
5. Harsh environment performance strategy
6. Real-time and realistic data streaming
The Guest Editors of this collection would like to encourage all interested contributors to submit an abstract before submitting their manuscript. Abstract submission deadline: 22 May 2021.
Interest in measuring human performance has increased in popularity, driven by a realization of a growing desire for quantitative validation of one’s health that is now conveniently and inex-pensively possible. Advances in semiconductor technology, materials development, and emerg-ing algorithmic platforms (i.e. AI and machine learning) have dramatically increased the quality, lowered the cost and furthered biometric sensor technology. The impetus for this growing field is a new capability for tangible, individualized measurements across multidisciplinary perfor-mance areas and diverse populations of people. The assessment of human performance to enable improvement can apply to anyone from the everyday person to an elite level athlete to military personnel. Wearable sensor technology provides an avenue for collection of quantifying data that medical professionals and sports scientists seek to analyze. For example, wearable sensors can monitor mechanical (velocity, acceleration, distances, impact), physical (heart rate, pulse, oxy-gen saturation, galvanic skin temperature) and chemical signals (analytes from bodily fluids such as sweat or saliva).
The translational value of the wearables sensors field is dependent on the combination of three factors:
1. biomedical sensors market,
2. detected stimuli, and
3. sensor subsets.
While the market dictates the type of sensor to be utilized, the detected stimuli and sensor sub-sets necessitate the required fabrication strategy which enables the detection of the biomarker or physiological stimuli of interest. The impact of translational value is thus governed by the ability to sync the three together in a manner which achieves the desired goal to have a direct impact on the patient. The promise of wearables for human performance monitoring would benefit signifi-cantly from the development of “use cases” that identify progress in product development as well as gaps in technology and that provide an opportunity to engage researchers and readers in new ways with Frontiers.
Submissions are welcome for the following article types: original research, review, mini-reviews, innovative research protocol/method, opinion and hypothesis. We particularly welcome contributions that include, but are not limited to, the following topics:
1. Advanced algorithms for non-invasive vital sign assessment.
2. Novel sensor system development
3. Simulation and modeling strategies for physical and cognitive assessment
4. Novel biomarkers for non-traditional measures
5. Harsh environment performance strategy
6. Real-time and realistic data streaming
The Guest Editors of this collection would like to encourage all interested contributors to submit an abstract before submitting their manuscript. Abstract submission deadline: 22 May 2021.
