IP Library Granted Patent US 12,403,373
Granted Patent B2
US 12,403,373 · App. 17/737,716 · Granted Sep 2, 2025

Detecting objects proximate to a treadmill

Inventors: Jody Nguyen (New York, NY); Alvin Dominguez (New York, NY); Spike Cheng (Taipei, TW); Tobey Hsu (Taipei, TW)
Assignee: Peloton Interactive, Inc.
A63B71/0054A63B22/02A63B24/0087A63B2071/0081G01S13/62G01S13/867
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Quick Facts
Patent No.
US 12,403,373
App. No.
17/737,716
Granted
Sep 2, 2025
Kind
B2
Abstract

An exercise machine can include sensors to detect objects proximate to and/or moving towards the exercise machine. For example, a treadmill, or a control system associated with the treadmill, can determine an object is moving towards or is already proximate to a deck of the treadmill (e.g., a front area, middle area, or rear area of the deck of the treadmill) and modify operations of the treadmill in response to the determined or detected object or object movement. The treadmill can utilize various detection mechanisms when determining an object is within a proximity to the treadmill, such as time-of-flight (ToF) sensors or cameras, millimeter wave (mmWave) sensors, computer vision (CV) technology, and so on, to detect the proximity of the object (or movement of the object).

Claims (24)

1. A treadmill, comprising:

a deck;

a belt having a running surface that moves around the deck; and

multiple sensors, including:

a time-of-flight sensor that detects an object is within an area surrounding the treadmill; and

a computer vision (CV) sensor that determines the object detected to be within the area surrounding the treadmill is moving towards the treadmill by identifying, within captured images of the detected object, a size and color of the detected object.

2. The treadmill of claim 1 , wherein the multiple sensors are part of a computer vision system that identifies the object within one or more images captured of the area surrounding the treadmill.

3. The treadmill of claim 1 , further comprising:

a control circuit that is communicatively coupled to the multiple sensors and operates to modify a current operation of the treadmill based on the object being proximate to the treadmill and based on determining that the object is moving towards the treadmill.

4. The treadmill of claim 1 , wherein the one or more multiple sensors are disposed on a rear area of the deck of the treadmill.

5. A method performed by a controller of a treadmill, the method comprising:

receiving, from a first sensor of the treadmill, an indication that an object is proximate to a rear area of the treadmill;

causing, in response to receiving the indication, a second sensor of the treadmill to capture information that identifies a motion state of the object based on determining a size and color of the object; and modifying operations of the treadmill based on the identified motion state of the object.

6. The method of claim 5 , wherein modifying operations of the treadmill based on the identified motion state of the object includes stopping movement of a running surface of the treadmill.

7. The method of claim 5 , wherein the first sensor is a time-of-flight (ToF) sensor that detects a distance between the object and the rear area of the treadmill; and wherein the second sensor is a computer vision (CV) sensor that determines, from multiple images captured of the object, that the motion state indicates the object is moving towards the rear area of the treadmill.

8. A treadmill, comprising:

a deck;

a belt having a running surface that moves around the deck; and

a computer vision system configured to:

capture images of objects within an area proximate to the treadmill;

detect an object within the captured images of the objects by creating a bounding box around the object based on contours within the captured images;

identify the detected object based on determining a size and color of the detected object; and

determine the identified object is of concern to operations of the treadmill based on the identification of the detected object.

9. The treadmill of claim 8 , wherein the computer vision system further identifies the detected object based on a determined rate of speed of the detected object.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 16, 2022
From: NGUYEN, JODY; DOMINGUEZ, ALVIN; CHENG, SPIKE; HSU, TOBEY
To: PELOTON INTERACTIVE, INC.
Reel/Frame 060232/0449 →
PATENT SECURITY AGREEMENT Recorded Jun 1, 2022
From: PELOTON INTERACTIVE, INC.
To: JPMORGAN CHASE BANK, N.A.
Reel/Frame 060247/0453 →
Continuity (2)
Provisional Application 63184635 · May 5, 2021
Related Publication 20220355179A1 · Nov 10, 2022
References Cited (8)
US 7713172B2 · Watterson · 2010 [cited by examiner]
US 11738250B2 · Liao · 2023 [cited by examiner]
US 20160051859A1 · Nakashima · 2016 [cited by examiner]
US 20160375339A1 · Lee · 2016 [cited by examiner]
US 20170004631A1 · Yang · 2017 [cited by examiner]
US 20170113096A1 · Yu · 2017 [cited by examiner]
US 20190240540A1 · Wei · 2019 [cited by examiner]
GB 2467359A · 2010 [cited by examiner]