Michael J Bertram

US Patent:

20160328642, Nov 10, 2016

Filed:

May 6, 2016

Appl. No.:

15/148706

Inventors:

- Indianapolis IN, US
Gregory W. Mattes - Nashville TN, US
Kenichi Yoshida - Carmel IN, US
Michael J. Bertram - Indianapolis IN, US

International Classification:

G06N 3/063
G06F 1/32
G06N 3/08

Abstract:

The present disclosure relates to sensor signal processing using an analog neural network. In an embodiment, a sensor signal processing system comprises: an analog neural network communicatively coupled to at least one sensor and a digital processor communicatively coupled to the analog neural network. The analog neural network is configured to receive a plurality of analog signals wherein the plurality of analog signals are associated with a plurality of sensor signals output by the at least one sensor. The analog neural network also determines an analog signal of the plurality of analog signals that is indicative of an event of interest and generates an activation signal to the digital processor in response to determining an analog signal is indicative of an event of interest. The digital processor is configured to receive the activation signal and transition to a higher-power state from a lower-power state in response to the activation signal.