The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Emotion-on-a-chip (EOC): Evolution of biochip technology to measure human emotion using body fluids
Open accessAbstract
Recent developments in nano/micro technology have made it possible to construct small-scale sensing chips for the analysis of biological markers such as nucleic acids, proteins, small molecules, and cells. Although biochip technology for the diagnosis of severe physiological diseases (e.g., cancer, diabetes, and cardiovascular disease) has been extensively studied, biochips for the monitoring of human emotions such as stress, fear, depression, and sorrow have not yet been introduced, and the development of such a biochip is in its infancy. Emotion science (or affective engineering) is a rapidly expanding engineering/scientific discipline that has a major impact on human society. The growing interest in the integration of emotion science and engineering is a result of the recent trend of merging various academic fields. In this paper we discuss the potential importance of biochip technology in which human emotion can be precisely measured in real time using body fluids such as blood, saliva, urine, or sweat. We call these biochips emotion-on-a-chip (EOC). The EOC system consists of four parts: (1) collection of body fluids, (2) separation of emotional markers, (3) detection of optical or electrical signals, and (4) display of results. These techniques provide new opportunities to precisely investigate human emotion. Future developments in EOC techniques will combine social and natural sciences to expand their scope of study.
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The self-reported method is disadvantageous to measure human stress levels due to the lack of standards for stress status and the inability to assess the wellness and mental acuity of the athlete in a real-time manner.
“The self-reported method is disadvantageous to measure human stress levels due to the lack of standards for stress status and the inability to assess the wellness and mental acuity of the athlete in a real-time manner.75”
From Wearable sensors for monitoring the physiological and biochemical profile of the athlete (2019) · cites this paper as [75]
The self-report method is hard to monitor human stress consistently due to the lack of standards for stress status.
“The self-report method is hard to monitor human stress consistently due to the lack of standards for stress status7.”
From A Flexible and Wearable Human Stress Monitoring Patch (2016) · cites this paper as [7]
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Metadata
- Authors
- Lee, J.-H., Hwang, Y., Cheon, K.-A., & Jung, H.-I.
- Affiliations
- Yonsei University (KR)
- Corresponding author
- Jung, Hyo-Il
- Venue
- Medical Hypotheses
- Publisher
- Elsevier BV
- Published
- 2012-12
- Volume
- 79
- Issue
- 6
- Pages
- 827-832
- ISSN
- 0306-9877 (ISSN-L)
- OpenAlex
- W2046277979
- Cited by
- 20
- References
- 72
- Citations by year
- 2025: 2 · 2023: 4 · 2021: 2 · 2019: 3 · 2018: 1 · 2017: 1 · 2016: 2 · 2015: 2 · 2014: 2 · 2013: 1
- FWCI
- 2.14
- Type
- journal article
- Language
- en
- Open access
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Medical Hypotheses (publishedVersion)
- PubMed (publishedVersion)
- YUHSpace (Yonsei University Medical Library) (submittedVersion, cc-by-nc-nd)
- Funders
- National R&D Program for Cancer Control, Ministry of Health and Welfare, Republic of Korea (1120290)
- National Research Foundation of Korea (2011-0016731)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Capillary Electrophoresis Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
- Keywords
- biochips, emotion measurement, biological fluids, saliva, sweat, blood, urine, biomarkers, stress, Kansei engineering, emotion monitoring, biosensors
- MeSH terms
- Emotions, Feasibility Studies, Humans, Miniaturization, Models, Theoretical
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