Paper
24 May 2012 Seismic and ultrasonic data analysis for characterizing people and animals
Author Affiliations +
Abstract
In this paper we analyze the seismic signals generated by people and animals walking. It is known that when a person walks, the heel strikes first and then the front of the foot; whereas animals walk on their hoofs. This difference in the walking patterns result in significant changes in the seismic signatures for both people and animals. Similarly, men walk differently than women and they also have different weight distributions resulting in different signatures for men and women. They also have different cadence or gait patterns. We distinguish the significant features in seismic signatures to distinguish people and animals. Ultrasonic Doppler returns capture the variations in the gait. The Doppler returns will be analyzed to distinguish people and animals. Algorithms to classify the signatures will be provided. The algorithms will be tested on the data collected at a horse farm with women, men and people walking. The results will be discussed along with possible future research directions to reduce the number of false alarms.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thyagaraju Damarla "Seismic and ultrasonic data analysis for characterizing people and animals", Proc. SPIE 8388, Unattended Ground, Sea, and Air Sensor Technologies and Applications XIV, 83880K (24 May 2012); https://doi.org/10.1117/12.918276
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Doppler effect

Sensors

Ultrasonics

Matrices

Signal to noise ratio

Analytical research

Data analysis

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