Abstract:
To estimate the body condition according to the attributes on the basis of sensor data measured while a user is walking, this estimation device comprises: a feature amount extraction unit that extracts, from a walking waveform extracted from time-series data of sensor data based on the movement of user's legs, a feature amount according to user's attributes in a section in which features of the body condition of the user according to the user's attributes are exhibited; and an estimation unit that estimates the user's body condition using the feature amount extracted according to the user's attributes.
Abstract:
Provided is a pelvic inclination estimation device including a communication unit that acquires feature amount data including a feature amount to be used for estimation of a pelvic inclination, the feature amount being extracted from a gait waveform of a spatial acceleration and a spatial angular velocity included in sensor data related to movement of a foot of a subject, a storage unit that stores an estimation model that outputs an estimation value related to the pelvic inclination according to an input of the 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 a pelvic inclination of the subject according to the estimation value output from the estimation model, and an output unit that outputs information associated to the pelvic inclination of the subject.
Abstract:
An information processing system includes an acquisition unit configured to acquire sensing data from a sensor device used for a foot, and a determination unit configured to determine an attached state of the sensor device to the foot according to a motion of the foot calculated using the sensing data.
Abstract:
The present invention provides a novel carbon material comprising a three-dimensional graphene network constituting a plurality of cells interconnecting as a whole, where at least one of the cells has single-layer graphene wall. The carbon material is suitable for a lithium ion battery.
Abstract:
A negative electrode for a lithium ion secondary battery, including a negative electrode active material layer containing a negative electrode active material including silicon (Si) as a constituent element, in which a coating including iron (Fe), manganese (Mn) and oxygen (O) as constituent elements is formed on a surface of the negative electrode active material layer.
Abstract:
The present invention relates to a lithium manganese composite oxide having a metal-containing compound film and a carbon coating, in which at least a part of a surface of the lithium manganese composite oxide represented by Formula (1) is coated with the metal-containing compound film, and at least a part of the surface thereof is further coated with the carbon coating. The present invention can provide a positive electrode material capable of improving the discharge characteristics and the capacity retention rate after cycles of lithium ion secondary batteries. Li1+x(FeyNizMn1-y-z)1-xO2 (1), where 0
Abstract:
A detection device that includes an acquisition unit that acquires data including a dorsiflexion peak time, a plantarflexion peak time, and travel direction acceleration acquired from sensor data regarding a movement of a foot, a candidate detection unit that detects, as a candidate time for heel strike, a time of a feature signal point extracted from time-series data of the travel direction acceleration in an investigation time period starting from an acceleration peak time detected from the travel direction acceleration based on the dorsiflexion peak time, and an output unit that outputs the detected candidate time as a heel strike time.
Abstract:
A machine learning device that trains a first encoding model for encoding first sensor data into first code, a second encoding model for encoding second sensor data into second code, and an estimation model for making estimation using the first code and the second code such that an estimation result from the estimation model conforms to correct answer data, trains a first adversarial estimation model that outputs an estimated value of the second code in response to the input of the first code such that the estimated value of the second code estimated by the first adversarial estimation model conforms to the second code outputted from the second encoding model, and trains the first encoding model such that the estimated value of the second code estimated by the first adversarial estimation model does not conform to the second code outputted from the second encoding model.
Abstract:
An estimation device that includes a detection unit that detects a terminal stance period from time-series data of sensor data based on a physical quantity related to movement of a foot measured by a sensor provided at a foot portion, a feature amount extraction unit that extracts a feature amount from an angular waveform in a coronal plane during the terminal stance period, and a presumption unit that estimates a degree of pronation/supination of the foot by using the feature amount extracted from the angular waveform in the coronal plane.
Abstract:
A mobile terminal acquires a schedule of a user using a module device that includes a sensor, and instructs the module device to initiate a process for determining when to start or when to stop transmitting sensing information detected by the sensor to a communication destination, on the basis of the schedule. The module device acquires the sensing information, and initiates the process for determining when to start or when to stop transmitting the sensing information to the communication destination, on the basis of the instruction to initiate the determination process.