公开(公告)号：US20210068713A1

公开(公告)日：2021-03-11

申请号：US17015965

申请日：2020-09-09

Applicant: Apple Inc.

Inventor： Gunes DERVISOGLU ,  Einav YOGEV ,  Barak SAGIV ,  Alexander Singh ALVARADO ,  Stephen P. JACKSON ,  Karthik JAYARAMAN RAGHURAM ,  Hung A. PHAM

IPC: A61B5/11 ,  A61B5/00 ,  A61B5/0205

Abstract: Disclosed embodiments include wearable devices and techniques for detecting swimming activities, classifying user motion, detecting water submersion, and monitoring performance during swimming activities. By accurately and promptly detecting swimming activities and automatically distinguishing between different swimming stroke type performed during a swimming activity, the disclosure enables wearable devices to accurately calculate user performance information when users forget to start and/or stop recording swimming activities. In various embodiments, swimming activity detection techniques may improve the selectivity of motion based methods of identifying swimming activities identification by confirming motion analysis with water immersion and pressure data analysis that detects when the wearable device is submerged in water.

公开(公告)号：US20170273619A1

公开(公告)日：2017-09-28

申请号：US15466397

申请日：2017-03-22

Applicant: Apple Inc.

Inventor： Alexander Singh ALVARADO ,  Craig H. MERMEL ,  Hung A. PHAM ,  Karthik Jayaraman RAGHURAM ,  Xing TAN

IPC: A61B5/00 ,  A61B5/11 ,  A61B5/024 ,  A61B5/083 ,  A63B24/00 ,  A61B5/0205

Abstract: A relationship relating a load of exercise and a user's aerobic capacity may be determined as follows. A processor circuit of a device may retrieve, from a memory, a prior probability distribution of the load of exercise and a prior probability distribution of the user's aerobic capacity. The processor circuit may compute a joint prior probability of the load of exercise and the user's aerobic capacity. The processor circuit may compute a joint likelihood of the load of exercise and the user's aerobic capacity based on data indicative of a measured time-stamped work rate and a measured time-stamped heart rate. The processor circuit may combine the joint prior probability and the joint likelihood to produce a joint posterior probability. The processor circuit may use the joint posterior probability to determine a relationship relating the load of exercise and the user's aerobic capacity and output a calorie calculation.