US 12,033,484 B2
Systems and methods for predictive environmental fall risk identification using dynamic input
Jacob R. Wright, Las Cruces, NM (US); and Hannah S. Rich, Las Cruces, NM (US)
Assigned to ELECTRONIC CAREGIVER, INC., Las Cruces, NM (US)
Filed by Electronic Caregiver, Inc., Las Cruces, NM (US)
Filed on Aug. 31, 2021, as Appl. No. 17/463,270.
Application 17/463,270 is a continuation of application No. 16/866,194, filed on May 4, 2020, granted, now 11,113,943.
Claims priority of provisional application 62/844,661, filed on May 7, 2019.
Prior Publication US 2021/0398410 A1, Dec. 23, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G08B 21/04 (2006.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01)
CPC G08B 21/0423 (2013.01) [G06N 3/08 (2013.01); G06N 20/00 (2019.01); G08B 21/0438 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for predictive environmental fall risk identification for a user, the method comprising:
receiving dynamic observations of an environmental map using a sensor;
determining the environmental map;
collecting a set of risk factors for the environmental map using the sensor;
assessing the set of risk factors for the environmental map for the user;
creating a training set comprising the collected set of risk factors for the environmental map;
training an artificial neural network using the training set comprising the collected set of risk factors for the environmental map and the dynamic observations of the environmental map;
predicting a fall risk of the user using the artificial neural network, the fall risk based on the user, room and time in the room by the user; and
sending an alert to the user based on the dynamic observations of the environmental map and the fall risk of the user and suggesting a furniture rearrangement in the room to reduce the fall risk.