US 11,657,235 B2
State of emotion time series
Kelley Anders, East New Market, MD (US); Jeremy R. Fox, Georgetown, TX (US); Jonathan Dunne, Dungarvan (IE); and Liam S. Harpur, Dublin (IE)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Aug. 28, 2019, as Appl. No. 16/553,701.
Application 16/553,701 is a continuation of application No. 16/130,587, filed on Sep. 13, 2018.
Prior Publication US 2020/0090067 A1, Mar. 19, 2020
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 7/00 (2023.01); G06N 20/00 (2019.01); G06N 5/02 (2023.01); G10L 25/63 (2013.01); G06K 9/62 (2022.01)
CPC G06N 7/00 (2013.01) [G06K 9/628 (2013.01); G06K 9/6256 (2013.01); G06N 5/02 (2013.01); G06N 20/00 (2019.01); G10L 25/63 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A computer implemented method, comprising:
obtaining, by one or more processor, inputs of emotion time series data of a user and environmental factor data from one or more data collection device for a user assistance service;
generating, by the one or more processor, a baseline emotion time series based on the inputs from the obtaining;
ascertaining, by the one or more processor, one or more environmental factor affecting states of emotion as represented in the emotion time series by regression analysis;
building, by the one or more processor, an emotion time series model for one of the one or more environmental factor from the ascertaining;
predicting, by the one or more processor, one or more path to a target state of emotion at a target time in the future on the emotion time series model; and
producing, by the one or more processor, a recommendation specifying one or more activity to perform for the user in order to attain the target state of emotion at the target time.