Method and System for Predicting Human Activity

Jun 4, 2015·

Matt Coler

Heinrich Johannes Wörtche

· 1 min read

Abstract

Some embodiments are directed to a method of predicting which type(s) of human activity is/are to be expected in a certain geographical area or location. A human activity type for each of a first set of locations is determined. At a first set of locations, sounds are recorded, and for each of the first set of locations, an acoustic signature is determined. To each of the determined acoustic signatures, a human activity is linked. After this initialisation step(s), sounds are recorded at a second set of locations, and for each of the second set of locations, an acoustic signature is determined. Finally, a human activity type for each of the second set of locations is predicted by matching the acoustic signatures of the locations of the second set with acoustic signatures of the location of the first set.

Type

Patent

Publication

US Patent Application Publication No. US 2015/0156597 A1

This patent describes a novel method and system for predicting human activity in geographical areas by analyzing acoustic signatures. The invention addresses the need for urban planners to better understand how people perceive and use different acoustic environments, enabling more effective design and improvement of urban spaces.

The patented technology involves recording sounds at various locations, determining their acoustic signatures, and linking these signatures to specific human activity types. This initial set of acoustic signatures and activity correlations serves as a training dataset. When sounds are recorded at new locations, their acoustic signatures can be matched against the existing database to predict likely human activities in those areas.

This invention emerged from my work at Stichting INCAS3 in the Netherlands, focusing on the intersection of acoustic analysis and human behavior prediction.

Last updated on Jun 4, 2015