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Title:
INTELLIGENT TRAINING BIKE
Document Type and Number:
WIPO Patent Application WO/2020/229856
Kind Code:
A1
Abstract:
An intelligent training bike consisting of a bike, software, user portal and social networking site, characterized in that, the modular construction bike includes an electric motor powering the built-in tablet and an actuator lifting or lowering the front of the bike to simulate uphill and downward slopes and a passive module deflecting the bike to simulate left and right turns, while the bike has a pulse meter or an electrocardiogram, a grace and load meter and is equipped with workout support software integrated with the pulse meter or the electrocardiogram and grace and load meter consisting of a training load control module based on intelligent algorithms to optimize real time training and an analytical module presenting the history, progress and results of training stored in two independent databases, and the user portal integrated with the bike enables users to plan workouts, and the social networking site enables tracking of friends' training results and sports competition, while cycling training is monitored in real time to detect possible irregularities during training and provides information about the risk or appearance of incorrect training parameters.

Inventors:
DZIONEK KONRAD (PL)
Application Number:
PCT/IB2019/000357
Publication Date:
November 19, 2020
Filing Date:
May 13, 2019
Export Citation:
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Assignee:
NE XT SP Z O O (PL)
International Classes:
A63B21/005; A63B22/00; A63B22/06; A63B24/00; A63B71/06
Domestic Patent References:
WO2016172103A12016-10-27
WO2014084742A12014-06-05
WO2011002302A22011-01-06
Foreign References:
CN206924320U2018-01-26
US20110172059A12011-07-14
US9861855B22018-01-09
CN104043225A2014-09-17
US20150265873A12015-09-24
CN201921400U2011-08-10
Attorney, Agent or Firm:
MICHALAK, Arkadiusz (PL)
Download PDF:
Claims:
Claims

1. An intelligent training bike consisting of a bike, software, user portal and social networking site, characterized in that, the modular construction bike includes an electric motor (1) powering the built-in tablet (2) and an actuator (3) lifting or lowering the front of the bike to simulate uphill and downward slopes and a passive module(4)deflecting the bike to simulate left and right turns, while the bike has a pulse meter (5) or an electrocardiogram (6), a grace (7] and load (8] meter and is equipped with workout support software integrated with the pulse meter (5)or the electrocardiogram (6) and grace (7) and load [8] meter consisting of a training load control module based on intelligent algorithms to optimize real time training and an analytical module presenting the history, progress and results of training stored in two independent databases, and the user portal integrated with the bike enables users to plan workouts, and the social networking site enables tracking of friends' training results and sports competition, while cycling training is monitored in real time to detect possible irregularities during training and provides information about the risk or appearance of incorrect training parameters.

2. The bike according to claim 1 having a heart rate monitor (9), a Bluetooth communication module (10) and integration with devices identifying training person (11), preferably Bacon, NFC or fingerprint sensor.

3. The bike according to claim 1 or 2 integrated with VR video goggles to imitate natural feelings and movements while cycling.

Description:
Intelligent training bike

Technical field

The object of the invention is the intelligent training bike which is applicable to physical training and rehabilitation.

Background art

An intelligent bike operating on the basis of WiFi and bluetooth technology equipped with an electrocardiogram is known from the patent description CN104043225B.In turn, from the description US20150265873A1 is known a bike with a gear shift unit for simulating the gear ratio of a bike, and from the description CN201921400U is known an intelligent recreational bike, which can automatically adjust the strength of the fitness equipment during fitness process and also arrange reasonable fitness strength for users according the physical quality and user demands of each user and realize the effects of scientific fitness and virtual training. However, solutions known from the prior art are not multifunctional in comparison to the solution according to the invention and usually concern only one aspect of cycling training and they do not allow the simulation of uphill and deviations when cycling. The solution according to the invention is devoid of the above disadvantages.

Disclosure of invention

The substance of the solution according to the invention is the intelligent training bike consisting of a bike, software, user portal and social networking site, characterized in thatthe modular construction bike includes an electric motor powering the built-in tablet and an actuator lifting or lowering the front of the bike to simulate uphill and downward slopes and a passive module deflecting the bike to simulate left and right turns, has a pulse meter or an electrocardiogram, a grace and load meter and is equipped with workout support software integrated with the pulse meter or the electrocardiogram and grace and load meter consisting of a training load control module based on intelligent algorithms to optimize real time training and an analytical module presenting the history, progress and results of training stored in two independent databases, and the user portal integrated with the bike enables users to plan workouts, and the social networking site enables tracking of friends' training results and sports competition, while cycling training is monitored in real time to detect possible irregularities during training and provides information about the risk or appearance of incorrect training parameters.The bike can also have the heart rate monitor, Bluetooth communication moduleand integration with devices identifying training person, preferably Bacon, NFC or fingerprint sensor. The bike can also be integratedwith VR video goggles to imitate natural feelings and movements while cycling.

An advantage of the solution according to the invention is the possibility of simulating real cycling, integrating pulse or electrocardiogram meters, grace meter and load with software, which allowto supervise the training person to implement training guidelines and control the load in such a way that the training person stays within the range of the heart rate given by the trainer. In addition, thanks to intelligent algorithms, it is possible not only to analyze the completed trainings but also to modify future workouts in such a way that the training person achieves optimal benefits from each training. Regardless of the above, the user portal integrated with the bike enables booking online trainings, their review by the user and setting training plans and their monitoring by the trainer.

Brief description of drawings

The object of the invention is shown in the drawing, where Fig. 1 presents a training bike with its components, while Fig. 2 presents a general scheme of the invention.

Best Mode for Carrying Out the Invention

An intelligent exercise bike consisting of a bike, software, user portal and social networking site, where, the modular construction bike includes an electric motor (1) powering the built-in tablet (2] and an actuator (3) lifting or lowering the front of the bike to simulate uphill and downward slopes and a passive module(4) deflecting the bike to simulate left and right turns has a pulse meter (5) and is equipped with workout support software integrated with the pulse meter (5) and grace (7) and load (8] meter consisting of a training load control module based on intelligent algorithms to optimize real time training and an analytical module presenting the history, progress and results of training stored in two independent databases, and the user portal integrated with the bike enables users to plan workouts, and the social networking site enables tracking of friends' training results and sports competition, while cycling training is monitored in real time to detect possible irregularities during training and provides information about the risk or appearance of incorrect training parameters.