18541036. ANOMALY DETECTION DEVICE, DETERMINATION SYSTEM, ANOMALY DETECTION METHOD, AND PROGRAM RECORDING MEDIUM simplified abstract (NEC Corporation)

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ANOMALY DETECTION DEVICE, DETERMINATION SYSTEM, ANOMALY DETECTION METHOD, AND PROGRAM RECORDING MEDIUM

Organization Name

NEC Corporation

Inventor(s)

Chenhui Huang of Tokyo (JP)

Kenichiro Fukushi of Tokyo (JP)

ANOMALY DETECTION DEVICE, DETERMINATION SYSTEM, ANOMALY DETECTION METHOD, AND PROGRAM RECORDING MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18541036 titled 'ANOMALY DETECTION DEVICE, DETERMINATION SYSTEM, ANOMALY DETECTION METHOD, AND PROGRAM RECORDING MEDIUM

Simplified Explanation

The abstract describes an anomaly detection device that uses sensor data from footwear to extract a gait feature amount characteristic in the pedestrian's gait and detect anomalies in the pedestrian's foot based on this information.

  • Extraction unit acquires sensor data from a sensor in the footwear.
  • Extraction unit extracts a gait feature amount characteristic in the pedestrian's gait.
  • Detection unit detects anomalies in the pedestrian's foot based on the extracted gait feature amount.

Potential Applications

This technology could be applied in various fields such as healthcare, sports performance analysis, and security systems.

Problems Solved

This technology helps in early detection of anomalies in a pedestrian's foot while walking, which can prevent injuries or health issues.

Benefits

The device provides real-time monitoring of gait anomalies, leading to timely interventions and improved overall health and safety for pedestrians.

Potential Commercial Applications

  • "Enhancing Footwear Anomaly Detection Technology for Improved Safety and Health Monitoring"

Possible Prior Art

There may be existing patents or technologies related to gait analysis and anomaly detection in footwear, but further research is needed to identify specific prior art.

Unanswered Questions

How does the device differentiate between normal variations in gait and actual anomalies?

The device may use machine learning algorithms to distinguish between normal variations and anomalies based on a set threshold or pattern recognition.

What is the accuracy rate of anomaly detection using this device?

The accuracy rate of anomaly detection may vary based on the specific implementation and calibration of the device, as well as environmental factors that could affect sensor data collection.


Original Abstract Submitted

An anomaly detection device that includes an extraction unit that acquires sensor data from a sensor installed in footwear and extract a gait feature amount characteristic in gait of a pedestrian wearing the footwear by using the sensor data, and a detection unit that detects an anomaly in a foot of the pedestrian walking wearing the footwear based on the gait feature amount extracted by the extraction unit.