Computational Intelligence in Gait and Movement Pattern Analysis

2007 ◽  
pp. 291-324
Author(s):  
Daniel Lai ◽  
Marimuthu Palaniswami ◽  
Rezaul Begg
Keyword(s):  
Computational Intelligence ◽  
Pattern Analysis ◽  
Movement Pattern

scholarly journals Location-Based Tracking Data and Customer Movement Pattern Analysis Using for Sustainable Fashion Business

2019 ◽  
Vol 11 (22) ◽  
pp. 6209 ◽  
Author(s):  
Jonghyuk Kim ◽  
Hyunwoo Hwangbo ◽  
Sung Jun Kim ◽  
Soyean Kim
Keyword(s):  
Field Experiments ◽  
Pattern Analysis ◽  
Movement Patterns ◽  
Movement Pattern ◽  
Tracking Data ◽  
Discrete Location ◽  
Practical Applications ◽  
Before And After ◽  
Stay Time ◽  
Visual Merchandising

Retailers need accurate movement pattern analysis of human-tracking data to maximize the space performance of their stores and to improve the sustainability of their business. However, researchers struggle to precisely measure customers’ movement patterns and their relationships with sales. In this research, we adopt indoor positioning technology, including wireless sensor devices and fingerprinting techniques, to track customers’ movement patterns in a fashion retail store over four months. Specifically, we conducted three field experiments in three different timeframes. In each experiment, we rearranged one element of the visual merchandising display (VMD) to track and compare customer movement patterns before and after the rearrangement. For the analysis, we connected customers’ discrete location data to identify meaningful patterns in customers’ movements. We also used customers’ location and time information to match identified movement pattern data with sales data. After classifying individuals’ movements by time and sequences, we found that stay time in a particular zone had a greater impact on sales than the total stay time in the store. These results challenge previous findings in the literature that suggest that the longer customers stayed in a store, the more they purchase. Further, the results confirmed that effective store rearrangement could change not only customer movement patterns but also overall sales of store zones. This research can be a foundation for various practical applications of tracking data technologies.

scholarly journals Movement Pattern Analysis Based on Sequence Signatures

2015 ◽  
Vol 4 (3) ◽  
pp. 1605-1626 ◽  
Author(s):  
Seyed Chavoshi ◽  
Bernard De Baets ◽  
Tijs Neutens ◽  
Matthias Delafontaine ◽  
Guy De Tré ◽  
...  
Keyword(s):  
Pattern Analysis ◽  
Movement Pattern ◽  
Sequence Signatures

Recognition of Human’s Implicit Intention Based on an Eyeball Movement Pattern Analysis

2011 ◽  
pp. 138-145 ◽  
Author(s):  
Young-Min Jang ◽  
Sangil Lee ◽  
Rammohan Mallipeddi ◽  
Ho-Wan Kwak ◽  
Minho Lee
Keyword(s):  
Pattern Analysis ◽  
Movement Pattern
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