US 12,186,074 B2
Wearable computing apparatus with movement sensors and methods therefor
Graeme Daniel Moffat, Toronto (CA); Christopher Allen Aimone, Toronto (CA); Hubert Jacob Banville, Toronto (CA); and Nicole Hélène Proulx, Hearst (CA)
Assigned to INTERAXON INC., Toronto (CA)
Appl. No. 16/959,833
Filed by INTERAXON INC, Toronto (CA)
PCT Filed Jan. 4, 2019, PCT No. PCT/CA2019/050008
§ 371(c)(1), (2) Date Jul. 2, 2020,
PCT Pub. No. WO2019/134043, PCT Pub. Date Jul. 11, 2019.
Claims priority of provisional application 62/613,891, filed on Jan. 5, 2018.
Prior Publication US 2020/0367789 A1, Nov. 26, 2020
Int. Cl. A61B 5/11 (2006.01); A61B 3/113 (2006.01); A61B 5/00 (2006.01); A61B 5/374 (2021.01); A61B 5/377 (2021.01); A63B 71/06 (2006.01)
CPC A61B 5/1116 (2013.01) [A61B 3/113 (2013.01); A61B 5/1114 (2013.01); A61B 5/1118 (2013.01); A61B 5/374 (2021.01); A61B 5/377 (2021.01); A61B 5/6803 (2013.01); A61B 5/6814 (2013.01); A63B 71/06 (2013.01); A63B 2071/0694 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A wearable system for determining at least one movement property comprising:
a head-mountable device including at least one movement sensor for sensing movement of a head of a user;
a processor in communication with the at least one movement sensor;
a feedback module in communication with the processor; and
a memory in communication with said processor, said memory storing instructions thereon that when executed cause the processor to:
obtain sensor data from the at least one movement sensor;
determine at least one first movement type relating to movement based at least in part on a first frequency range of the sensor data obtained from the at least one movement sensor and at least one second movement type relating to movement based at least in part on a second frequency range of the sensor data, wherein the movement relates to one or more body parts of the user located elsewhere from the head of the user, wherein the first and the second frequency ranges include at least two of:
a high frequency range indicative of a shaking movement type;
a medium frequency range indicative of a wobbling movement type; and
a low frequency range indicative of a swaying movement type; and
determine a stillness metric based on the first and second movement types;
generate real-time feedback for a user relating to each of the first and second movement types using the feedback module, wherein the real-time feedback is at least one of visual, auditory and tactile, wherein the real-time feedback is based on a target stillness metric and the determined stillness metric.