Look-up table method for custom fitting of apparel

• US 20060195219A1
• Filed: 01/23/2006
• Published: 08/31/2006
• Est. Priority Date: 03/06/2003
• Status: Active Grant

• Current Assignee: Thirdlove.com
• Original Assignee: Archetype Solutions
• Inventors: Curcio, Mathew, Holloway, Robert, Plummer, Daniel, Luhnow, Jeffrey
• Granted Patent: US 7,623,938 B2
• Time in Patent Office: Days
• US Class Current: 700/132
• CPC Class Codes: A41H 1/00 Measuring aids or methods
• CPC Class Codes: A41H 3/007 Methods of drafting or marking-out patterns using computers computer-aided design G06F30/00

Abstract

We disclose and claim a method for custom fitting an article to a human being or animal comprising, selecting on the basis of body information about said human being or animal a subset of entries from a database populated with entries, wherein said entries comprise data from which said article is designed. We also disclose and claim a method for custom fitting an article to a human being or animal comprising, obtaining body information about said human being or animal, populating a database with entries comprising data about other individual human beings or animals selected from the group consisting of body dimensions and body information, selecting a subset of entries from said database on the basis of said body information about said human being or animal, and designing said article on the basis of said subset of entries. We also disclose and claim a system for custom fitting an article to a human being or animal comprising, a means for obtaining body information about said human being or animal, a means for populating a database with entries comprising data about other individual human beings or animals selected from the group consisting of body dimensions and body information, a means for selecting a subset of entries from said database on the basis of said body information about said human being or animal, and a means for designing said article on the basis of said subset of entries. We also disclose and claim a custom fitted article for a human being or animal, wherein said article is designed on the basis of a subset of entries from a database, wherein said database is populated with entries comprising data about other individual human beings or animals selected from the group consisting of body dimensions and body information, and wherein said subset is selected on the basis of body information about said human being or animal.

Claims

1. A method for custom fitting an article to a human being or animal comprising, selecting on the basis of body information about said human being or animal a subset of entries from a database populated with entries, wherein said entries comprise data from which said article is designed.

2. The method of claim 1, wherein each of said database entries comprises body dimensions measured for another individual human being or animal.

3. The method of claim 2, wherein said body dimensions are measured using a laser body scanner.

4. The method of claim 1, wherein each of said database entries comprises body information about another human being or animal.

5. The method of claim 4, wherein said body information is selected from the group consisting of seat shape, overall body shape, measured waist circumference, and body weight.

6. The method of claim 1, wherein each of said database entries comprises body dimensions measured for another individual human being or animal and body information about said other individual human being or animal.

7. The method of claim 6, wherein said body dimensions are measured using a laser body scanner.

8. The method of claim 6, wherein said body information is selected from the group consisting of seat shape, overall body shape, measured waist circumference, and body weight.

9. The method of claim 6, wherein said body dimensions are measured using a laser body scanner and said body information is selected from the group consisting of seat shape, overall body shape, measured waist circumference, and body weight.

10. The method of claim 2, wherein said body dimensions are measured by derivation from point clouds of optical full-body scans.

11. The method of claim 1, wherein said entries in said database comprise a representative sample of the adult population of the United States of America.

12. The method of claim 1, wherein each of said entries in said database comprise canonical datapoints.

13. The method of claim 12, wherein said canonical datapoints are derived by an expert.

14. The method of claim 12, wherein said canonical datapoints are an average of body dimensions measured for a set of other human beings or animals.

15. The method of claim 14, wherein said set of other human beings or animals comprises human beings or animals with body dimensions falling within a predetermined numerical range.

16. The method of claim 1, wherein said database entries comprise article dimensions for another human being or animal.

17. The method of claim 6, wherein said subset comprises body information about said other individual human beings or animals identical to body information about said human being or animal.

18. The method of claim 6, wherein said subset comprises body information about said other individual human beings or animals, wherein said body information about said other individual human beings or animals is within a predetermined neighborhood of body information about said human being or animal.

19. The method of claim 18, wherein said neighborhood is defined by a range of numerical values.

21. The method of claim 1, wherein said database entries have been mathematically transformed.

22. The method of claim 17 or claim 18, wherein said subset comprises more than one database entry, and wherein said subset is mathematically averaged.

25. The method of claim 17 or claim 18, wherein said subset comprises a single database entry.

102. The method of claim 6, wherein said body dimensions are measured using a radar scanner.

20. The method of claim I, wherein said database entries have been pre-selected from a larger set.

23-24. -24. (canceled)

26. A method for custom fitting an article to a human being or animal comprising, obtaining body information about said human being or animal, populating a database with entries comprising data about other individual human beings or animals selected from the group consisting of body dimensions and body information,

selecting a subset of entries from said database on the basis of said body information about said human being or animal, and

designing said article on the basis of said subset of entries.

27. The method of claim 26, wherein each of said database entries comprises body dimensions measured for another individual human being or animal.

28. The method of claim 26, wherein said body dimensions are measured using a laser body scanner.

29. The method of claim 26, wherein each of said database entries comprises body information about another human being or animal.

30. The method of claim 26, wherein said body information is selected from the group consisting of seat shape, overall body shape, measured waist circumference, and body weight.

31. The method of claim 26, wherein each of said database entries comprises body dimensions measured for another individual human being or animal and body information about said other individual human being or animal.

32. The method of claim 31, wherein said body dimensions are measured using a laser body scanner.

33. The method of claim 31, wherein said body information is selected from the group consisting of seat shape, overall body shape, measured waist circumference, and body weight.

34. The method of claim 31, wherein said body dimensions are measured using a laser body scanner and said body information is selected from the group consisting of seat shape, overall body shape, measured waist circumference, and body weight.

35. The method of claim 28, wherein said body dimensions are measured by derivation from point clouds of optical full-body scans.

36. The method of claim 26, wherein said entries in said database comprise a representative sample of the adult population of the United States of America.

37. The method of claim 26, wherein each of said entries in said database comprise canonical datapoints.

38. The method of claim 37, wherein said canonical datapoints are derived by an expert.

39. The method of claim 37, wherein said canonical datapoints are an average of body dimensions measured for a set of other human beings or animals.

40. The method of claim 39, wherein said set of other human beings or animals comprises human beings or animals with body dimensions falling within a predetermined numerical range.

41. The method of claim 26, wherein said database entries comprise article dimensions for another human being or animal.

42. The method of claim 31, wherein said subset comprises body information about said other individual human beings or animals identical to body information about said human being or animal.

43. The method of claim 31, wherein said subset comprises body information about said other individual human beings or animals, wherein said body information about said other individual human beings or animals is within a predetermined neighborhood of body information about said human being or animal.

44. The method of claim 43, wherein said neighborhood is defined by a range of numerical values.

45. The method of claim 26, wherein said database entries have been pre-selected from a larger set.

46. The method of claim 26, wherein said database entries have been mathematically transformed.

47. The method of claim 42 or claim 43, wherein said subset comprises more than one database entry, and wherein said subset is mathematically averaged.

50. The method of claim 42 or claim 43, wherein said subset comprises a single database entry.

103. The method of claim 31, wherein said body dimensions are measured using a radar scanner.

48-49. -49. (canceled)

51. A system for custom fitting an article to a human being or animal comprising, a means for obtaining body information about said human being or animal, a means for populating a database with entries comprising data about other individual human beings or animals selected from the group consisting of body dimensions and body information, a means for selecting a subset of entries from said database on the basis of said body information about said human being or animal, and a means for designing said article on the basis of said subset of entries.

52. The system of claim 51, wherein each of said database entries comprises body dimensions measured for another individual human being or animal.

53. The system of claim 52, wherein said body dimensions are measured using a laser body scanner.

54. The system of claim 51, wherein each of said database entries comprises body information about another human being or animal.

55. The system of claim 54, wherein said body information is selected from the group consisting of seat shape, overall body shape, measured waist circumference, and body weight.

56. The system of claim 51, wherein each of said database entries comprises body dimensions measured for another individual human being or animal and body information about said other individual human being or animal.

57. The system of claim 56, wherein said body dimensions are measured using a laser body scanner.

58. The system of claim 56, wherein said body information is selected from the group consisting of seat shape, overall body shape, measured waist circumference, and body weight.

59. The system of claim 56, wherein said body dimensions are measured using a laser body scanner and said body information is selected from the group consisting of seat shape, overall body shape, measured waist circumference, and body weight.

60. The system of claim 52, wherein said body dimensions are measured by derivation from point clouds of optical full-body scans.

61. The system of claim 51, wherein said entries in said database comprise a representative sample of the adult population of the United States of America.

62. The system of claim 51, wherein each of said entries in said database comprise canonical datapoints.

63. The system of claim 62, wherein said canonical datapoints are derived by an expert.

64. The system of claim 62, wherein said canonical datapoints are an average of body dimensions measured for a set of other human beings or animals.

65. The system of claim 64, wherein said set of other human beings or animals comprises human beings or animals with body dimensions falling within a predetermined numerical range.

66. The system of claim 51, wherein said database entries comprise article dimensions for another human being or animal.

67. The system of claim 56, wherein said subset comprises body information about said other individual human beings or animals identical to body information about said human being or animal.

68. The system of claim 56, wherein said subset comprises body information about said other individual human beings or animals, wherein said body information about said other individual human beings or animals is within a predetermined neighborhood of body information about said human being or animal.

69. The system of claim 68, wherein said neighborhood is defined by a range of numerical values.

70. The system of claim 51, wherein said database entries have been pre-selected from a larger set.

71. The system of claim 51, wherein said database entries have been mathematically transformed.

72. The system of claim 67 or claim 68, wherein said subset comprises more than one database entry, and wherein said subset is mathematically averaged.

75. The system of claim 67 or claim 68, wherein said subset comprises a single database entry.

104. The system of claim 56, wherein said body dimensions are measured using a radar scanner.

73-74. -74. (canceled)

76. A custom fitted article for a human being or animal,

wherein said article is designed on the basis of a subset of entries from a database,

wherein said database is populated with entries comprising data about other individual human beings or animals selected from the group consisting of body dimensions and body information,

and wherein said subset is selected on the basis of body information about said human being or animal.

77. The custom fitted article of claim 76, wherein each of said database entries comprises body dimensions measured for another individual human being or animal.

78. The custom fitted article of claim 77, wherein said body dimensions are measured using a laser body scanner.

79. The custom fitted article of claim 76, wherein each of said database entries comprises body information about another human being or animal.

80. The custom fitted article of claim 79, wherein said body information is selected from the group consisting of seat shape, overall body shape, measured waist circumference, and body weight.

81. The custom fitted article of claim 76, wherein each of said database entries comprises body dimensions measured for another individual human being or animal and body information about said other individual human being or animal.

82. The custom fitted article of claim 81, wherein said body dimensions are measured using a laser body scanner.

83. The custom fitted article of claim 81, wherein said body information is selected from the group consisting of seat shape, overall body shape, measured waist circumference, and body weight.

84. The custom fitted article of claim 81, wherein said body dimensions are measured using a laser body scanner and said body information is selected from the group consisting of seat shape, overall body shape, measured waist circumference, and body weight.

85. The custom fitted article of claim 77, wherein said body dimensions are measured by derivation from point clouds of optical full-body scans.

86. The custom fitted article of claim 76, wherein said entries in said database comprise a representative sample of the adult population of the United States of America.

87. The custom fitted article of claim 76, wherein each of said entries in said database comprise canonical datapoints.

88. The custom fitted article of claim 87, wherein said canonical datapoints are derived by an expert.

89. The custom fitted article of claim 87, wherein said canonical datapoints are an average of body dimensions measured for a set of other human beings or animals.

90. The custom fitted article of claim 89, wherein said set of other human beings or animals comprises human beings or animals with body dimensions falling within a predetermined numerical range.

91. The custom fitted article of claim 76, wherein said database entries comprise article dimensions for another human being or animal.

92. The custom fitted article of claim 81, wherein said subset comprises body information about said other individual human beings or animals identical to body information about said human being or animal.

93. The custom fitted article of claim 81, wherein said subset comprises body information about said other individual human beings or animals, wherein said body information about said other individual human beings or animals is within a predetermined neighborhood of body information about said human being or animal.

94. The custom fitted article of claim 93, wherein said neighborhood is defined by a range of numerical values.

95. The custom fitted article of claim 76, wherein said database entries have been pre-selected from a larger set.

96. The custom fitted article of claim 76, wherein said database entries have been mathematically transformed.

97. The custom fitted article of claim 92 or claim 93, wherein said subset comprises more than one database entry, and wherein said subset is mathematically averaged.

100. The custom fitted article of claim 92 or claim 93, wherein said subset comprises a single database entry.

101. The custom fitted article of claim 76, wherein said article is selected from the group consisting of a pair of pants, a pair of jeans, a sweater, a skirt, a dress, a shirt, a blouse, a vest, a jacket, a coat, a pair of knickers, a pair of leggings, a jersey, a pair of shorts, a leotard, a pair of underwear, a hat, a cap, a swimming suit and a bathing suit.

105. The custom fitted article of claim 81, wherein said body dimensions are measured using a radar scanner.

98-99. -99. (canceled)

106. A method for custom fitting a clothing article for a being, comprising:

a) receiving body dimensions of said being;

b) accessing a database populated with information about other beings, the information for each of the other beings including at least one of body dimensions and clothing article dimensions;

c) selecting a model being from the other beings based on the body dimensions of said being and body dimensions of the other beings; and

d) designing said clothing article based on at least one of the body dimensions of the model being and the clothing article dimensions of the model being.

107. The method of claim 106, wherein step c) further comprises:

selecting a model being having body dimensions that most closely compare with the body dimensions of said being.

108. The method of claim 107, wherein one body dimension is weighted more heavily than another body dimension when comparing the body dimensions of said being with the body dimensions of the other beings.

109. The method of claim 106, further comprising;

e) storing in the database, information for a new other being, including the body dimensions of said being and at least one of the following;

the body dimensions of the model being that are not known for said being, and the clothing article dimensions of the model being.

110. The method of claim 109, further comprising;

f) assigning the information for the new other being a reliability index below a predetermined threshold.

111. The method of claim 106, wherein step c) further comprises:

selecting only from other beings having a reliability index above a predetermined threshold.

113. The method of claim 106, wherein step c) further comprises:

when no other being has body dimensions within a first predetermined proximity to said being, identifying a subset of other beings having body dimensions within an expanded, second predetermined proximity to the body dimensions of said being.

114. The method of claim 113, further comprising:

e) creating information for a new other being, including at least one of body dimensions and clothing article dimensions interpolated from the subset of other beings.

115. The method of claim 114, further comprising:

f) storing in the database, information for the new other being, including at least two of the following;

the body dimensions of said being, interpolated body dimensions that are not known for said being, and the interpolated clothing article dimensions.

116. The method of claim 115, further comprising:

g) assigning the information for the new other being a reliability index below a predetermined threshold.

117. The method of claim 116, further comprising:

h) increasing the reliability index of the information for the new other being above the predetermined threshold based on input about a fit of said clothing article.

118. The method of claim 106, wherein, for information on an other being stored in the database, the total number of clothing article dimensions are greater than the total number of body dimensions.

119. The method of claim 106, wherein, the total number of body dimensions for an other being stored in the database are greater than the total number of body dimensions received for said being.

112. The method of claim I 10, further comprising:

g) increasing the reliability index of the information for the new other being above the predetermined threshold based on input about a fit of said clothing article.