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Nishiyama Lab
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A lab that pursues the convenience of the networked society from the standpoint of artificial intelligence.
AboutAbout the lab
Creating new services from everyday devices.
The Nishiyama Lab studies the convenience and time savings of the networked society from the standpoint of artificial intelligence.
The lab considers whether new network services can be created by collecting familiar information with everyday devices such as smartphones (high-functionality mobile terminals), and works to make them a reality.
It works on user support systems that run on smartphones and cooperative distributed processing systems that enable prompt services, support, and problem solving.
Its research areas are distributed artificial intelligence, network services, security, and robotics.
Key terms
- Cooperative distributed processing
- A mechanism in which multiple computers or other devices divide roles and work together to carry out processing
- Machine learning
- A method of having a computer create rules for judging a state from the features of collected data
- Distracted driving
- Driving while attention has wandered and concentration on driving has lapsed
ResearchResearch themes
Pursuing the convenience and time savings of the networked society, the lab designs user support systems that use everyday devices such as smartphones, as well as cooperative distributed processing systems. Its research seeds page introduces the detection of distracted states while driving and navigation linked to phone calls.
*Illustrative imageDetecting Distracted Driving
The lab extracts features from gaze (eye movement) data during driving and from driving data such as vehicle speed, acceleration, position, and maps. Using machine learning, it builds rules for estimating distracted states, with the aim of applying them to actual car driving.
*Illustrative imageNew Navigation Linked to Phone Calls
In addition to the phone number of the other party and the user's own location, the lab uses the content of the call and various sensor information as input. It realizes a function that estimates the user's destination (or target) and displays it as navigation.
MembersFaculty
- ProfessorHiroyuki Nishiyama
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Cyber Security Awareness Month (4838455)” U.S. Army USAG-RP by Mary Davis / Public domain (cropped)
- Detecting Distracted Driving: “Distracted driving kills, keep your eyes and mind on the road 130417-M-RR352-002” Cpl. Melissa Wenger / Public domain (cropped)
- New Navigation Linked to Phone Calls: “Automotive navigation system Navigon NVG” Raimond Spekking / CC BY-SA 4.0 (cropped)
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