woop / awesome-quantified-self

:bar_chart: Websites, Resources, Devices, Wearables, Applications, and Platforms for Self Tracking
Other
2.35k stars 157 forks source link

Android apps for mind and cognition #36

Closed ran88dom99 closed 3 years ago

ran88dom99 commented 5 years ago

Lots and lots of games and puzzles on android. For them to be good candidates as cognitive self quantification tests they must have the following features.

Enough puzzles usually through automatic generation. Puzzles should not change much in difficulty or at least include an expected difficulty for that specific puzzle. Timing of each test either by limiting time on test or just measuring how much each test took. Ideally they would export results for multivariate analysis but only quantified mind does this ever. Also nice if tests starts a bit before where it expects user to end up instead of forcing user to start from the easiest levels that are completely boring and useless.

Lumosity Brainilis Elevate and "mental" by peoresnada. All autogenerate and have good timings. Not all start from beginning.

Logic Daily is very different but still satisfies my requirements. It only has one type of test instead of 60 as the other 4. These puzzles are generated by humans, new one daily. Score is time and "expected time" is included with each puzzle. TBH I do not know how good that expectation is.

ran88dom99 commented 5 years ago

https://quantifyme.io/ wearables database like wolfram

ran88dom99 commented 5 years ago

https://www.caloriecount.com/ redirects to some article

ran88dom99 commented 5 years ago

https://www.reddit.com/r/QuantifiedSelf/comments/dp3las/all_validation_and_reliability_studies_of/ ALL THE VALIDATION STUDIES!!!!! Not a review or summary unfortunately. E.G. it does not say Polar H7 is always above .8 pearson correlation.

ran88dom99 commented 5 years ago

https://dataverse.no/file.xhtml?persistentId=doi:10.18710/QXMY88/ZU4SO4&version=1.0

https://www.mad.tf.fau.de/files/2019/05/Gradl-Wirth-2019-PervasiveHealth-StressMeasurementOverview.pdf

https://www.jmir.org/2018/3/e110/ Iot devices. data export, sensors, and validation.