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Fujitsu Develops Golf-Swing Analyzer Featuring Latest Sensing Technology

Submitted by on 24 December, 2018 – 4:32 pm
Fujitsu today announced it has co-developed a sensor technology that accurately measures body movements of a person wearing a sensor-equipped mobile phone. The technology was developed in collaboration with Mr. Kajiro Watanabe, president of laboratory detection and control of a professor at Hosei University in Japan. In the first commercialization of this technology, “etga Swing Lesson,” is a mobile application that analyzes the changes in golf under the guidance of professional golfer Mr. Tadashi Ezure.

Mobile phone use embedded sensors, the application meets the motion data, which are then put into motion a 3D detection engine to analyze and evaluate the trajectory of the golf swing the user and provide advice based on principles of golf professional golfer Sr . Tadashi Ezure’s. It also allows users to compare each blow against their recent changes of the best recorded, which is a complete program of leading swing diagnosis. In addition, the application can connect to a range of online services related to mobile, including a variety of services provided by Golf Digest Online Inc.

By equipping mobile phones with different sensors prepared at home and use data to measure the user’s body, Fujitsu is working to provide users with “human-centric solutions” that contribute to their health, activities sports, and lifestyle. The company is also actively developing other services and capabilities of mobile phones that incorporate the expertise of various fields.

Fujitsu plans to include the new application in your next mobile phone products. Visitors to the Fujitsu booth at CEATEC JAPAN 2009, the opening of 6 October 2009, at Makuhari Messe, will be able to prove themselves.

Fujitsu had an early interest in using mobile phones for human detection. In September 2003, the mobile phone company that offers the first equipped with an accelerometer-based pedometer in Raku-Raku phone series Ⅲ.

The golf swing analyzer-engine incorporates a 3D motion detection that measures the inclination and rotation of the waist for a fixed period of time. Pick up the discrepancies in each movement pattern, and detects the distinctive aspects of these models to analyze user movement pattern. This technology was developed jointly with Mr. Kajiro Watanabe, who is chairman of laboratory detection of Control Co., Ltd. and a professor at Hosei University in Japan.

By applying this algorithm to patterns of movement in the golf shots, which can detect the shape of a user and select the distinctive features in each swing for the diagnosis of the areas the user needs to improve.

Overview of “Lesson etga Swing”

After receiving phone data integrated into the sensors, the engine of 3D motion detection measures and assesses the golfer’s swing 16 points of the oscillation control.

The evaluation criteria are based on the “Ezure Method”, a set of principles prepared by professional golfer swing Mr. Tadashi Ezure, chief Tadashi Ezure Golf Academy (etga), which has produced a series of well known golf professionals . The result is a lesson in full swing, as if the user had participated in a private meeting with Mr. Ezure itself.

The application can also load Internet provisional data. Fujitsu has set his sights on the deployment of an online service in the future in which several players can participate simultaneously.

In collaboration with Golf Digest Online Inc, Fujitsu plans to launch a “Golf Swing Check-Site” (tentative name) of online services under “Lesson etga Swing”.

By loading the data collected using “Swing Lesson etga, users can access a range of services not offered by the standalone application. In addition, Fujitsu plans to codevelop the service with Nifty Corporation to deliver advanced features that draw on Nifty’s network.

Source: Fujitsu

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