18203452. Waist swinging estimation device, estimation system, waist swinging estimation method, and recording medium simplified abstract (NEC Corporation)
Contents
- 1 Waist swinging estimation device, estimation system, waist swinging estimation method, and recording medium
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Waist swinging estimation device, estimation system, waist swinging estimation method, and recording medium - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Original Abstract Submitted
Waist swinging estimation device, estimation system, waist swinging estimation method, and recording medium
Organization Name
Inventor(s)
Kenichiro Fukushi of Tokyo (JP)
Hiroshi Kajitani of Tokyo (JP)
Yoshitaka Nozaki of Tokyo (JP)
Kentaro Nakahara of Tokyo (JP)
Waist swinging estimation device, estimation system, waist swinging estimation method, and recording medium - A simplified explanation of the abstract
This abstract first appeared for US patent application 18203452 titled 'Waist swinging estimation device, estimation system, waist swinging estimation method, and recording medium
Simplified Explanation
The patent application describes a device for estimating waist swinging during movement. The device includes a communication unit that acquires data from sensors on the foot of a subject, including spatial acceleration and angular velocity. This data is used to extract a feature amount, which is then inputted into an estimation model stored in a storage unit. The estimation unit uses the model to estimate the waist swinging of the subject, and an output unit provides information based on this estimation.
- The device estimates waist swinging during movement based on sensor data from the foot of a subject.
- It uses a communication unit to acquire data on spatial acceleration and angular velocity.
- The device extracts a feature amount from the acquired data and inputs it into an estimation model.
- The estimation unit uses the model to estimate the waist swinging of the subject.
- An output unit provides information based on the estimated waist swinging.
Potential Applications
- Physical therapy: The device can be used to monitor and analyze waist swinging during rehabilitation exercises, helping therapists assess progress and adjust treatment plans.
- Sports training: Athletes can use the device to track and improve their waist swinging technique in various sports, such as golf, tennis, or baseball.
- Fitness tracking: The device can be integrated into wearable fitness devices to provide users with feedback on their waist swinging during activities like running or dancing.
Problems Solved
- Accurate estimation: The device provides a reliable estimation of waist swinging by analyzing sensor data from the foot, which is directly related to the movement of the waist.
- Non-invasive monitoring: Unlike traditional methods that may require invasive sensors or equipment, this device can estimate waist swinging using non-intrusive sensors on the foot.
- Real-time feedback: The device can provide real-time information on waist swinging, allowing users to make immediate adjustments to their movements.
Benefits
- Improved movement analysis: The device enables a more detailed analysis of waist swinging during movement, providing valuable insights for rehabilitation, sports training, and fitness tracking.
- Enhanced performance: By monitoring and optimizing waist swinging technique, users can improve their overall performance in various activities.
- Convenience and portability: The device can be compact and easily integrated into wearable devices, making it convenient for everyday use and on-the-go monitoring.
Original Abstract Submitted
Provided is a waist swinging estimation device including a communication unit that acquires feature amount data including a feature amount extracted from a gait waveform of a spatial acceleration and a spatial angular velocity included in sensor data regarding a movement of a foot of a subject and used for estimation of waist swinging that is an index regarding a movement of a waist, a storage unit that stores an estimation model that outputs an estimated value regarding the waist swinging according to an input of a feature amount included in the feature amount data, an estimation unit that inputs a feature amount included in the acquired feature amount data to the estimation model, and estimate waist swinging of the subject according to an estimated value regarding the waist swinging output from the estimation model, and an output unit that outputs information according to waist swinging of the subject.
