Software Support for Skeleton Recognition and Monitoring People with Privacy

Nitta, Yoshihisa; Murayama, Yuko

doi:10.24251/hicss.2018.028

Cited by 3 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We proposed that skeleton recognition is useful for monitoring people with privacy and have developed such a monitoring system [31]. The outline of the system is shown in Fig.…”

Section: New Improvement Of Our Monitoring Systemmentioning

confidence: 99%

Privacy-aware Remote Monitoring System by Skeleton Recognition

Nitta¹,

Murayama²

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

Self Cite

View full text Add to dashboard Cite

As the number of elderly people living alone increases, the need for remote monitoring system is also increasing. The system automatically checks the safety of the elderly and notifies the state to remote areas in case of anomalies. However, how to protect the privacy of the watched person becomes a problem. We propose that skeleton recognition technology is useful to monitor people with high accuracy while protecting the privacy. It can be used not only to investigate his/her posture and motion, but also to selectively analyze the voice emitted by himself/herself. We developed a system that combines skeleton recognition and selective speech recognition by the audio direction. In this paper, we will explain the improvement of our system and report some experiment results.

show abstract

“…We proposed that skeleton recognition is useful for monitoring people with privacy and have developed such a monitoring system [31]. The outline of the system is shown in Fig.…”

Section: New Improvement Of Our Monitoring Systemmentioning

confidence: 99%

Privacy-aware Remote Monitoring System by Skeleton Recognition

Nitta¹,

Murayama²

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

Self Cite

View full text Add to dashboard Cite

show abstract

“…The next stage of the project includes interaction of the climber with the route created. The computer system was developed in the programming environment of Microsoft Visual Studio 2017, using C ++ as the programming language as well as the software development kit (Software Development Kit), Kinect for Windows SDK 2.0, the NtKinect library (Nitta and Murayama, 2018) and the open source library for OpenCV computer vision.…”

Section: Interaction Of the Human Body With Virtual Objects Using 3d Sensorsmentioning

confidence: 99%

Untitled

2019

OJIT

View full text Add to dashboard Cite

Augmented Reality is a technology that allows to expand the traditional learning techniques complementing the perception and interaction with the real world that allows the student to be in real environment with additional information generated by the computational algorithm. However, the knowledge and applicability of this technology in the field of personalized education is not a common practice. In this article, personalized education strategies are applied in the process of developing the application for indoor climbing teaching techniques. The application allows the trainer or climber to select the climbing holds that make up a route and display it by visualization on a projector to customize the training program. The system has the detection algorithm and recognition of climbing holds in real time and visualization of the route to climb. This kind of applications using emergent technologies oriented to personalized training has enormous potential for efficient education.

show abstract