US 11,850,048 B2
Methods and systems for determining emotional connectivity using physiological measurements from connected devices
Sian Elizabeth Gordon, Vancouver (CA); Sian Victoria Allen, Vancouver (CA); Todd James Smith, Vancouver (CA); Brandon Scott Jung, Vancouver (CA); Ellisa Kathleen Calder, Vancouver (CA); Navjot Kailay, Vancouver (CA); and Kerem Dogurga, Vancouver (CA)
Assigned to Lululemon Athletica Canada Inc., Vancouver (CA)
Appl. No. 17/776,833
Filed by LULULEMON ATHLETICA CANADA INC., Vancouver (CA)
PCT Filed Nov. 13, 2020, PCT No. PCT/CA2020/051557
§ 371(c)(1), (2) Date May 13, 2022,
PCT Pub. No. WO2021/092701, PCT Pub. Date May 20, 2021.
Claims priority of provisional application 62/936,203, filed on Nov. 15, 2019.
Prior Publication US 2022/0409111 A1, Dec. 29, 2022
Int. Cl. A61B 5/16 (2006.01); A61B 5/00 (2006.01); G16H 20/70 (2018.01); A61B 5/08 (2006.01)
CPC A61B 5/165 (2013.01) [A61B 5/0002 (2013.01); A61B 5/0004 (2013.01); A61B 5/0816 (2013.01); G16H 20/70 (2018.01)] 10 Claims
OG exemplary drawing
 
1. A computer hardware system for capturing and processing measured signals of physiological parameters of users acquired during a time period of a group activity, the system comprising:
non-transitory memory to receive and store measured signals of physiological parameters of users acquired during the time period of the group activity from a network;
at least one biosensor to acquire a measured signal of a physiological parameter of a user during the time period of the group activity and having a transmitter to transmit the measured signal of the physiological parameters of the user acquired during the time period of the group activity over the network;
one or more servers having a hardware processor coupled to the memory to access the measured signals of physiological parameters of the users acquired during the time period of the group activity to compute at least one metric for the group activity, wherein the group activity involves a set of users that are paired into different permutations of user pairings to compute the at least one metric for the group activity, the hardware processor executing instructions stored in the memory to:
identify measured signals of the physiological parameters of the users stored in the non-transitory memory using the group activity;
time-synchronize the measured signals of the physiological parameters of the users;
compute a normalized cross-correlation matrix with connectivity values for the different permutations of user pairings for the group activity, the connectivity values providing estimations for synchronicity of the time-synchronized measured signals for the physiological parameters for the different permutations of the user pairings for the group activity, wherein the hardware processor computes multiple dimensions of connectivity values for each user pairing of the different permutations of user pairings for the group activity comparing the time-synchronized measured signals for a plurality of the physiological parameters of a user of the respective user pairing to the time-synchronized measured signals for the plurality of the physiological parameters of another user of the respective user pairing, wherein the hardware processor uses the different permutations of the user pairings to compare the time-synchronized measured signals for the physiological parameters of the users; and
compute the at least one metric for the group activity using the normalized cross-correlation matrix with the connectivity values for the user pairings for the group activity corresponding to the synchronicity of the time-synchronized measured signals for the physiological parameters for the different permutations of the user pairings for the group activity, wherein the at least one metric for the group activity indicates estimations of connectivity between users of the group activity; and
transmit at least a portion of the connectivity values for the user pairings for the group activity and the at least one metric for the group activity to an interface at a computing device in communication with the one or more servers over the network for data exchange and programmed with executable instructions for generating visual elements representing the at least one metric for the group activity and the at least a portion of the connectivity values for the user pairings for the group activity;
wherein the interface at the computing device receives control commands and data to automatically update to visually indicate the visual elements representing the at least one metric for the group activity and the portion of the connectivity values for the user pairings for the group activity to indicate the estimations of connectivity between the users of the group activity.