Personal training mirror

Description

FIG. 1 is a front, top, and left side perspective view of a personal training mirror showing our new design.

FIG. 2 is a rear, bottom, and right side perspective view thereof.

FIG. 3 is a top view thereof.

FIG. 4 is a bottom view thereof.

FIG. 5 is a side view thereof.

FIG. 6 is a front view thereof; and,

FIG. 7 is a rear view thereof.

Within the drawings, the straight-line surface shading and stippling show the character and contour of the surfaces in the claimed design of the personal training mirror. The broken lines show unclaimed portions of the personal training mirror, and thus form no part of the claimed design.

Claims

CLAIM The ornamental design for a personal training mirror, as shown and described.

---

Inventors:	Asikainen; Sami (North Vancouver, CA), Tarkkanen; Riikka (North Vancouver, CA)
Applicant:	Name City State Country Type Elo Labs, Inc. New York NY US
Assignee:	Elo Labs, Inc. (New York, NY)
Appl. No.:	D/732,573
Filed:	April 24, 2020

---

Current U.S. Class:	D6/300; D14/126
Current International Class:	0607
Field of Search:	;D6/300,301,302,303,304,307,308,309,310,311,312,313,314 ;D28/64.1-64.7 ;D14/126,336,341,371,372,374,381,382,448,450 ;D19/113,114 ;D20/10,27,42

---

References Cited [Referenced By]

---

U.S. Patent Documents

D472223	March 2003	Wilmotte
D547071	July 2007	Mischel, Jr.
7637847	December 2009	Hickman
D661123	June 2012	Curbbun
D691208	October 2013	Gorelick
D759617	June 2016	Soares
D789313	June 2017	Jacobi
D801703	November 2017	Robertson
D807648	January 2018	Gilad
D869412	December 2019	Spencer
D880593	April 2020	Lee
D890710	July 2020	Bakshi
D925484	July 2021	Easton
D927595	August 2021	Ogden
2002/0039952	April 2002	Clem
2007/0219059	September 2007	Schwartz et al.
2007/0225118	September 2007	Giomo
2010/0022351	January 2010	Lanfermann et al.
2015/0100141	April 2015	Hughes

Foreign Patent Documents

	008624647-0001		Jul 2021		EM
	00126348		Jul 2021		RU

Other References

Carbon Trainer [online], [site visited Jan. 26, 2022]. Available from internet, URL: <https://www.carbontrainer.com/order> (Year: 2022). cited by examiner . Carbon Trainer is the New Fitness Mirror Designed for Home Strength Training [online], [site visited Jan. 26, 2022]. Available from internet, URL: <https://manofmany.com/lifestyle/fitness/carbon-trainer-is-the-ne- w-fitness-mirror-designed-for-home-strength-training> (Year: 2020). cited by examiner . Mirror Pro [online], [site visited Jan. 26, 2022]. Available from internet, URL: <https://www.mirror.co/shop/mirror-pro-cw?gclid=Cj0KCQiA_8OPBhDtARIsAK- Qu0gbPF_10mpXrPaHO2jCsfyA3fBWUHIJqwJe0AauAMn4sJiNHZkJImi8aAgltEALw_wcB> (Year: 2022). cited by examiner . International Search Report and Written Opinion for PCT/US2020/041860, filed Jul. 13, 2020, dated Sep. 28, 2020, 21 pgs. cited by applicant . Van Hooff, Nino, "Performance Assessment and Feedback of Fitness Exercises Using Smartphone Sensors", Master Thesis, Jul. 2013, 55 pgs. cited by applicant . Runia, Tom et al., "Real-World Repetition Estimation by Div, Grad and Curl", http://tomrunia.github.io/projects/repetition/, 2018, 5 pgs. cited by applicant . Guler, Riza et al., "DensePose: Dense Human Pose Estimation in the Wild", http://densepose.org/, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018. cited by applicant . Dong, Junting, et al., "Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views", https://arxiv.org/pdf/1901.04111.pdf, Jan. 14, 2019, 10 pgs. cited by applicant . "Weight Lifting", https://vcl.iti.gr/weight-lifting/, Research, Motion Capturing and Analysis, Oct. 24, 2017, 3 pgs. cited by applicant . Omran, Mohamed, et al., "Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation", https://paperswithcode.com/paper/neural-body-fitting-unifying-deep-learn2- , Aug. 17, 2018, 13 pgs. cited by applicant . Cho, Youngjun, et al., "Instant Automated Inference of Perceived Mental Stress Through Smartphone PPG and Thermal Imaging", https://arxiv.org/ftp/arxiv/papers/1901/1901.00449.pdf, Journal of Medical Internet Research/JMIR Mental Health--Special Issue on Computing and Mental Health, 2018, 24 pgs. cited by applicant . Zdziarski, Zbigniew, "Heart Rate Estimation Using Computer Vision--Zbigatron", https://zbigatron.com/heart-rate-estimation-using-computer-vision/, Dec. 12, 2018, 5 pgs. cited by applicant . "Video Magnification", http://people.csail.mit.edu/mrub/vidmag/, Jun. 2015, 4 pgs. cited by applicant . Pilz, Christian S., et al., "Local Group Invariance for Heart Rate Estimation From Face Videos in the Wild", http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w27/Pilz_- Local_Group_Invariance_CVPR_2018_paper.pdf, 2018, pp. 1367-1375. cited by applicant . Wang, Chen, et al., "A Comparative Survey of Methods for Remote Heart Rate Detection From Frontal Face Videos", Frontiers in Bioengineering and Biotechnology, May 1, 2018, vol. 6, Article 33, 16 pgs. cited by applicant . Trivedi, Chintan, "Using Tensorflow Object Detection to Control First-Person Shooter Games", Towards Data Science, Nov. 25, 2018, 6 pgs. cited by applicant . Jovanov, Goran, "Realtime Face Recognition in the Browser", https://medium.com/@gjovanov/realtime-face-recognition-de1ee3076878, Jan. 10, 2019, 10 pgs. cited by applicant . Bhoi, Amlaan, "Spatio-Temporal Action Recognition: A Survey", https://arxiv.org/pdf/1901.09403.pdf, Jan. 27, 2019, 15 pgs. cited by applicant . Pham, Huy-Hieu, et al., "Learning to Recognize 3D Human Action From A New Skeleton-Based Representation Using Deep Convolutional Neural Networks", https://arxiv.org/pdf/1812.10550.pdf, IET Research Journals, Dec. 26, 2018, 11 pgs. cited by applicant . Fang, Hao-Shu, et al., "AlphaPose: Real-Time and Accurate Full-Body Multi-Person Pose Estimation & Tracking System", https://github.com/MVIG-SJTU/AlphaPose, Accessed Oct. 15, 2020, 8 pgs. cited by applicant . "Open Source IMU and AHRS Algorithms", https://x-io.co.uk/open-source-imu-and-ahrs-algorithms/, x-io Technologies, Posted Jul. 31, 2012, 2 pgs. cited by applicant . Brownlee, "Deep Learning Models for Human Activity Recognition," Machine Learning Mastery, Sep. 26, 2018, retrieved from https://machinelearningmastery.com/deep-learning-models-for-human-act . . . on Jun. 24, 2020, 28 pgs. cited by applicant . Runia et al., "Repitition Estimation," International Journal of Computer Vision, 2019, vol. 127, pp. 1361-1383. cited by applicant.

Primary Examiner: Ramirez; Cynthia
Assistant Examiner: Marti-Santos; Xavier
Attorney, Agent or Firm: Patent Law Works LLP