This inventor holds 1 USPTO granted patent. Top assignees: Honda Access Corporation, Nippon Systemware Co., Ltd.. Active years: 2016.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2016
Title: The Innovations of Shinichi Horisaki
Introduction
Shinichi Horisaki is a notable inventor based in Tokyo, Japan. He has made significant contributions to the field of gesture recognition technology. His innovative approach has led to the development of a unique patent that enhances the interaction between humans and machines.
Latest Patents
Horisaki holds a patent for a "Gesture recognition apparatus using vehicle steering wheel, and method for recognizing hand." This apparatus is capable of recognizing a hand through a binary image, regardless of the direction of light contacting the hand. The system includes a binarizing processing section that converts an input image from a camera into a binary format. It prepares a first binary image using a predetermined method. Additionally, a rebinarizing processing section focuses on a specific area of the input image to create a second binary image. This innovative approach increases the likelihood of recognizing the hand by reclassifying portions of the hand in the binary images. The hand is deemed recognizable if it can be identified in either the first or second binary image.
Career Highlights
Throughout his career, Horisaki has worked with prominent companies such as Nippon Systemware Co., Ltd. and Honda Access Corporation. His experience in these organizations has contributed to his expertise in developing advanced technologies.
Collaborations
Horisaki has collaborated with notable colleagues, including Tsuyoshi Kondou and Teruo Uchimura. Their combined efforts have furthered the advancements in gesture recognition technology.
Conclusion
Shinichi Horisaki's contributions to gesture recognition technology exemplify the innovative spirit of modern inventors. His patent demonstrates a significant leap in how machines can interpret human gestures, paving the way for future advancements in this field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile