Quantified self

The Quantified Self , [1] also known as lifelogging , is a movement to incorporate data into a food supply, the states (mood, arousal , blood oxygen levels ), and performance, whether mentalor physical. In short, quantified self is self-learning through self-tracking with technology.

Data collection through self-monitoring and self-sensing combined wearable sensors (eg EEG , ECG ) and wearable computing . Among the specific biometrics one can track insulin and cortisol levels, sequence DNA , and the microbial cells which inhabit one’s body.

Other names for using self-tracking data to Improve daily functioning [2] are self-tracking, auto-analytics, body hacking Quantifying self, self- monitoring , and personal informatics. [3] [4] [5] [6]

History

According to Riphagen et al. citation needed ] , the history of quantimetric self-tracking using wearable computers

“The history of self-tracking using wearable sensors in combination with wearable computing and wireless communication already exists for many years, and also appeared, in the form of underwriting back in the 1970s [13, 12]” [7]

Quantimetric self-sensing was proposed for the use of wearable computers to automatically sense and measure dietary intake in 2002:

“Sensors that measure biological signals, … a personal data recorder that records … Lifelong videocapture together with blood-sugar levels, … correlate blood-sugar levels with such food, by capturing a food record of intake. ” [8]

(See also, [9] )

The logo of Quantified Self Labs, Gary Wolf and Kevin Kelly, who holds conferences and other events

The “quantified self” or “self-tracking” are contemporary labels. They reflect the broader trend of the progressions for organization and meaning-making in human history; There have been some uses of self-made measurements and data collection that have attempted the same goals as the quantified movement has. [10] Scientization plays a major role in legitimizing self-knowledge through self-tracking. As early as 2001, Ellie Harrison and Alberto Frigo extensively pioneered the concept, proposing a new direction of labor-intensive self-tracking. [11]

The term “quantified self” appears to be proposed in San Francisco, CA, by Wired Magazine editors Gary Wolf [12] and Kevin Kelly [13] in 2007 [14] as “a collaboration of users and tool makers who share an interest in self knowledge through self-tracking. ” In 2010, Wolf spoke about the movement at TED , [15] and in May 2011, the first international conference was held in Mountain View, California . [16]There are conferences in America and Europe. Gary Wolf said “Almost everything we do data.” Wolf suggests that companies target advertising or use of data from phones, tablets, computers, other technology, and credit cards. However, using the data they make it possible to give people new ways to deal with medical problems, help with sleep patterns, and improve diet.

Philosophers like Michel Foucault are recognized as being a part of the foundations in the ideas of quantified movement. Foucault and other philosophers focus on the idea of ​​”care of the self,” in which they emphasize the importance of self-knowledge for personal development. Foucault explains that it involves self-reflection and self-reflection, which is also associated with quantified self-movement, where self-tracking participants can expect “show-and-tell” conventions to share their experiences with technology. [10]

Today the global community HAS over a hundred groups in 34 countries around the world, [17] with the Largest Groups in San Francisco, New York, London, and Boston HAVING over 1500 members each.

Methodologies

Like any empirical study, the primary method is the collection and analysis of data. [18] In many cases, data are collected automatically using wearable sensors -not limited to, but often worn on the wrist. [19] In other cases, data may be logged manually.

The data are typically analyzed using traditional techniques such as linear regression to establish correlations among the variables under investigation. As in every attempt to understand potentially high-dimensional data, visualizationtechniques can suggest that they can be tested more rigorously using formal methods. One simple example of a visualization method.

Even though the idea is not new, the technology is. Many people would track what they would eat or get much physical activity they got within a week. Technology has made it easier and simpler to gather and analyze personal data. Since these technologies have become smaller and cheaper to use in smart phones or tablets, it is easier to take the quantitative methods used in science and business and apply them to the personal sphere.

Narratives constitute a symbiotic relationship with bodies of large data. Therefore, quantified self participants are encouraged to share their experiences of self-tracking at various conferences and meetings. [20]

Applications

A major application of quantified self in health and wellness. [21] [22] Many devices and services with physical activity, caloric intake, sleep quality, posture, and other factors involved in personal well-being. Corporate wellness programs, for example, will often encourage some form of tracking. Genetic testing and other services also become popular.

Quantified self est being white used to Improve personal or professional productivity, [23] with tools and services being white used to help people keep track of what They Do During the workday, Where They Spend Their Time, and Who They interact with.

One other application has been in the field of education, with wearable devices being used in schools so that students can learn more about their own activities and related math and science. [24]

Many start-up companies occupy the market right now when? ] . Most of them help for some people, or asthma. However, there are bigger companies such as Nike, Jawbone, and FitBit that occupy some of the space in the market.

A recent movement in quantified self is gamification . There are a wide variety of self-tracking technologies that can be used to increase their chances of success. The success of connected sport is part of the gamification movement. People can pledge a certain amount of real money, or receive awards and trophies.

Many of these self-tracking applications or technologies are compatible with each other and other websites. citation needed ] Each of these technologies can be compared to other models of health, goals, and journaling. [25] For example, one may be more likely to have migraine headaches when using a particular migraine drug. Or one can study personal temporal associations between exercise and mood. [25]

The big quantification of the data is a major component of ” big data science”. analysis des projets, qui peut peut être être d’un point d’aide de l’aide de l’aide de recherche et de la santé et de la santé et de la recherche d’études et des sciences du projet d’études qui ont d’une question du projet du projet de l’invention du projet de l’invention du projet du projet de l’invention du projet Gut microbiome project. [26]

Quantified Baby

Quantified Baby is a branch of the Quantified Self Movement that is concerned with collecting data on a baby’s daily activities, and using this data to make inferences about behavior and health. A number of software and hardware products are available for the data collection. Reactions to “Quantified Baby” are mixed. [27] [28]

Parents are often told by health professionals to record their daily life in the first few months, such as feeding times, sleeping times and nappy changes. [29] This is useful for both the parent and the health professional (to make sure the baby is on target and occasionally to assist in diagnosis). For quantified self, knowledge is power , and knowledge about oneself easily as a tool for self-improvement . [30] The aim for many is to become better parents. Some parents use sleep trackers because they worry about sudden infant death syndrome . [31]

A number of apps that have been made for parents wanting to track their baby’s daily activities. The most frequently tracked metrics are feeding, sleeping and diaper changes . Mood, activity, medical appointments and milestones are also sometimes covered. Other apps are specifically made for breastfeeding mothers, or those who are pumping their milk to build up a supply for their baby.

Quantified baby, in quantified self, is associated with a combination of wearable sensors and wearable computing . The synergy of these is related to the concept of the internet of things . [28]

Devices and services

This list has no specific inclusion as described in the Manual of Style for standalone lists . Please improve this article by adding inclusion criteria. ( Discuss ) (April 2013)

Notable self-quantification tools are listed below. Numerous other hardware and software are available, [32] as a result of advances and cost reductions in sensor technology, mobile connectivity, and battery life.

Activity monitors

Main article: Activity tracker
  • Apple Watch
  • Garmin activity trackers
  • BodyMedia FIT – skin temperature, galvanic skin response ; acquired by Jawbone in April 2013
  • Fitbit Tracker – steps taken, stairs climbed, distance traveled, calories burned, sleep quality, heart rate
  • Instant App – Automatically tracks activities: Phone / app usage, fitness, places, travel & sleep
  • Jawbone UP – steps taken, calories burned, eating clothes, sleep quality and sleep cycle vibration alarm; behavioral nudges (water consumption, movement, sleep)
  • Nike + FuelBand – steps taken, calories burned. To be discontinued.
  • Razer Nabu – sleep, steps you’ve walked, distance traveled, burnt calories, and active start and stop time
  • Pebble – motion and sleep tracking.
  • QardioCore – ECG, activity, body temperature monitoring
  • Samsung Gear Fit – heart rate, pedometer, accelerometer; notifications from compatible phones
  • Technogym – display a “performance index” in conjunction with a heart rate monitor
  • Weight Watchers ActiveLink – accelerometer-based activity tracking with estimation of calorie consumption
  • Zephyr BioHarness – complex physiological monitoring
  • Simband – open source physiological monitoring
  • Misfit Wearables – activity and sleep monitoring (tracking step count, calories burned, distance traveled, and number of hours of light and deep sleep)

Sleep-specific monitors

  • SleepBot – a freeware app, for Android and iOS
  • WakeMate – a wristband plus an accompanying app
  • Zeo – a sleep-monitoring headband
  • SleepCycle

Diet and weight

  • Fitbit Aria scale
  • MyFitnessPal
  • Withings Wi-Fi body scale
  • QardioBase Wi-Fi body scale

Other

  • 23andMe – genetics
  • BACtrack – alcohol intake and its effect on the body
  • dacadoo Health Score and platform for behavioral change
  • QardioArm Smart Blood Pressure Monitor
  • Sleepio
  • uBiome – personal microbiome
  • Thriva – blood test [33]
  • Lioness – a vibrator that tracks sexual response

See also

  • Self-experimentation
  • eHealth
  • Human enhancement
  • Transhumanism
  • Experience sampling method

References

  1. Jump up^ Gary, Wolf. “QS & The Macroscope” . Retrieved 21 March 2014 .
  2. Jump up^ Dorminey, Bruce (2012-05-31). “Tic-Toc-Trac: New Watch Gadget Measures Time Perception For The Self-Quantifying” . Forbes .
  3. Jump up^ Wilson, H. James (September 2012). “You, By the Numbers” . Harvard Business Review . Retrieved 2015-08-18 .
  4. Jump up^ “Adventures in Self-Monitoring, aka The Self Quantified, aka Extreme Navel-Gazing” . Forbes . April 7, 2011.
  5. Jump up^ “Counting every moment” . The Economist . Mar 3, 2012.
  6. Jump up^ “The Personal Analytics of My Life-Stephen Wolfram” . blog.stephenwolfram.com . Retrieved 2016-12-16 .
  7. Jump up^ LEARNING TOMORROW: VISUALIZING STUDENT AND STAFF’S DAILY ACTIVITIES AND REFLECT ON IT (PDF) . ICERI2013.
  8. Jump up^ US Patent application 20020198685
  9. Jump up^ Photographic images from video using quantimetric processing (PDF) . ACM Multimedia. Association for Computing Machinery. 2002.
  10. ^ Jump up to:b Swan, Melanie (June 2013). “The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery”. Big Data . 1 (2).
  11. Jump up^ Villarroel, Morris; Fridge, Alberto (2017). Self trackers: Eight Personal Tales of Journeys in Life-logging . CreateSpace. ISBN  978-1545316283 .
  12. Jump up^ Singer, Emily. “The Measured Life” . MIT . Retrieved 2011-07-05 .
  13. Jump up^ Wolf, Gary. “Quantified Self” . Gary Wolf. Archived from the original on 2012-03-26 . Retrieved 2012-03-26 .
  14. Jump up^ “Quantified Self Blog, oldest entries” . Archived from the original on 2012-03-26 . Retrieved 2012-03-26 .
  15. Jump up^ Wolf, Gary. “The quantified self” . TED (conference) . Retrieved 2012-03-26 .
  16. Jump up^ “Invasion of the body hackers” . Financial Times . 2011-06-10. Archived from the original on 2012-03-26.
  17. Jump up^ “Quantified Self Meetups – Meetup” .
  18. Jump up^ Hesse, Monica (September 9, 2008). “Bytes of Life” . Washington Post . Retrieved 2012-03-26 .
  19. Jump up^ Stinson, Ben. “How wearables became the key tech trend of 2014” . TechRadar . Retrieved 4 June 2014 .
  20. Jump up^ Hayles, Katherine (2007). “Narrative and Database: Natural Symbionts”. PMLA . 122 (5).
  21. Jump up^ “The Rise of the Quantified Self in Health Care” . The Wall Street Journal .
  22. Jump up^ “Edelman – Conversations – The Quantified Self and Corporate Wellness” . February 22, 2013.
  23. Jump up^ “When IoE Gets Personal: The Quantified Self Movement!” .
  24. Jump up^ Lee, Victor R (1 January 2013). “The Quantified Self (QS) movement and some emerging opportunities for the educational technology field” . 53 (6).
  25. ^ Jump up to:a Blaauw b ; et al. (2016). “Let’s get physical – an intuitive and generic method to combine sensor technology with ecological momentary assessments” . Journal of Biomedical Informatics . 63 : 141-149. doi : 10.1016 / j.jbi.2016.08.001 . PMID  27498066 .
  26. Jump up^ Swan, Melanie (June 2013). “THE QUANTIFIED SELF: Fundamental Disruption in Big Data Science and Biological Discovery”. Big Data . 1 (2).
  27. Jump up^ Heussner, Ki Mae (11 July 2013). “The quantified baby: Do parents really need infant-ready sensor tech?” . GigaOM . Retrieved 22 September 2013.
  28. ^ Jump up to:b Higginbotham, Stacy (18 April 2013). “Podcast: How the internet of things can make parents less worried but more neurotic” . GigaOM . Retrieved 22 September 2013 .
  29. Jump up^ “Baby’s Checkup Schedule” .
  30. Jump up^ “The quantified self” .
  31. Jump up^ Brooks, Ross (9 September 2013). “Baby Jumpsuit Reports Nighttime Activity Levels To Anxious Parents Baby Jumpsuit Reports Nighttime Activity Levels To Anxious Parents” . PSFK . Retrieved 22 September 2013 .
  32. Jump up^ “The Guide to Self-Tracking Tools” . Quantified Self . Retrieved 2012-03-27 .
  33. Jump up^ O’Hear, Steve. “London-based Thriva offers a finger-prick blood test to quantify your bad self | TechCrunch” . Retrieved 2017-07-18 .

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