Mining the Human Torso: Moving from Mass Customization to Mass Matching

Tanya Domina; Patrick G Kinnicutt; Maureen Sweeney MacGillivray

Mining the Human Torso: Moving from Mass Customization to Mass Matching

Tanya Domina, Patrick G Kinnicutt, Maureen Sweeney MacGillivray

Research output: Contribution to conference › Abstract › peer-review

Abstract

This paper describes how data collected on thermal profiles of the human torso could be data mined and categorized into "thermal families" to facilitate mass matching by using web configurators and entering statistically correlated data attributes for the consumer to select the functional apparel which best optimizes their heat and moisture management.

Original language	English
State	Published - Oct 5 2009
Event	5th World Conference on Mass Customization & Personalization - Helsinki, Finland Duration: Oct 5 2009 → Oct 5 2009

Other

Other	5th World Conference on Mass Customization & Personalization
Period	10/5/09 → 10/5/09

Cite this

@conference{273faf8f146f4745873f3356dccac904,

title = "Mining the Human Torso: Moving from Mass Customization to Mass Matching",

abstract = "This paper describes how data collected on thermal profiles of the human torso could be data mined and categorized into {"}thermal families{"} to facilitate mass matching by using web configurators and entering statistically correlated data attributes for the consumer to select the functional apparel which best optimizes their heat and moisture management.",

author = "Tanya Domina and Kinnicutt, {Patrick G} and MacGillivray, {Maureen Sweeney}",

year = "2009",

month = oct,

day = "5",

language = "English",

note = "5th World Conference on Mass Customization & Personalization ; Conference date: 05-10-2009 Through 05-10-2009",

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TY - CONF

T1 - Mining the Human Torso: Moving from Mass Customization to Mass Matching

AU - Domina, Tanya

AU - Kinnicutt, Patrick G

AU - MacGillivray, Maureen Sweeney

PY - 2009/10/5

Y1 - 2009/10/5

N2 - This paper describes how data collected on thermal profiles of the human torso could be data mined and categorized into "thermal families" to facilitate mass matching by using web configurators and entering statistically correlated data attributes for the consumer to select the functional apparel which best optimizes their heat and moisture management.

AB - This paper describes how data collected on thermal profiles of the human torso could be data mined and categorized into "thermal families" to facilitate mass matching by using web configurators and entering statistically correlated data attributes for the consumer to select the functional apparel which best optimizes their heat and moisture management.

UR - https://www.mcpc2009.com

M3 - Abstract

T2 - 5th World Conference on Mass Customization & Personalization

Y2 - 5 October 2009 through 5 October 2009

ER -

Mining the Human Torso: Moving from Mass Customization to Mass Matching

Abstract

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