US 11,853,887 B2
Method and system for activity classification
Chun Hing Cheng, Calgary (CA); Julia Breanne Everett, Calgary (CA); Michael Todd Purdy, Calgary (CA); Travis Michael Stevens, Calgary (CA); David Allan Viberg, Calgary (CA); and Dale Barry Yee, Calgary (CA)
Assigned to Orpyx Medical Technologies Inc., Calgary (CA)
Filed by Orpyx Medical Technologies Inc., Calgary (CA)
Filed on Nov. 9, 2022, as Appl. No. 17/983,619.
Application 17/983,619 is a continuation of application No. 16/640,765, granted, now 11,526,749, previously published as PCT/CA2018/051011, filed on Aug. 22, 2018.
Claims priority of provisional application 62/548,676, filed on Aug. 22, 2017.
Prior Publication US 2023/0060953 A1, Mar. 2, 2023
Int. Cl. G06N 3/08 (2023.01); G06N 3/04 (2023.01); A61B 5/00 (2006.01)
CPC G06N 3/08 (2013.01) [A61B 5/7264 (2013.01); G06N 3/04 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for determining energy expenditure data of a subject comprising:
generating a first set of input data of the subject resulting from an activity, the first set of input data comprising pressure data;
applying a first deep learning neural network to the first set of input data based on a first set of weights and biases, resulting in classified activity data;
training the first deep learning neural network for updating the first set of weights and biases; and
applying a second deep learning neural network to a second set of input data comprising the classified activity data based on a second set of weights and biases, resulting in energy expenditure data.