There is provided an information processing apparatus including an extraction section which extracts, out of pieces of detection information each including position information and motion detection data acquired by terminal devices of respective users, detection information of a user on a specific train, based on the position information, and an estimation section which estimates distribution of people on the train based on the motion detection data included in the detection information extracted by the extraction section.

There is provided an information processing apparatus including an extraction section which extracts, out of pieces of detection information each including position information and motion detection data acquired by terminal devices of respective users, detection information of a user on a specific train, based on the position information, and an estimation section which estimates distribution of people on the train based on the motion detection data included in the detection information extracted by the extraction section.

An illustrative system includes two wearable devices configured to be worn near a jaw on opposite sides of a user's head, each device comprising: at least one microphone, at least two accelerometers, at least one loudspeaker, wherein the system is configured to process data acquired by the accelerometers and by the microphones to: detect chewing, and output an audible notification via the loudspeakers to notify the user to brush the user's teeth after chewing is no longer detected.

An illustrative system includes two wearable devices configured to be worn near a jaw on opposite sides of a user's head, each device comprising: at least one microphone, at least two accelerometers, at least one loudspeaker, wherein the system is configured to process data acquired by the accelerometers and by the microphones to: detect chewing, and output an audible notification via the loudspeakers to notify the user to brush the user's teeth after chewing is no longer detected.

Devices to aid in finding items, including purses or other luggage, along with methods of operation of the devices. The resultant movement of an item during use, and lack of movement of an item during non-use, are exploited to alert a user to the whereabouts of the item through adaptive techniques. A device is located with the item, purse, or other luggage, and configured to sense motion information. Location notification may be based on such motion information.

Devices to aid in finding items, including purses or other luggage, along with methods of operation of the devices. The resultant movement of an item during use, and lack of movement of an item during non-use, are exploited to alert a user to the whereabouts of the item through adaptive techniques. A device is located with the item, purse, or other luggage, and configured to sense motion information. Location notification may be based on such motion information.

Embodiments relate to an Inertia Measurement Unit (IMU) sensor that generates strain information including a change in strain based on first output light of a first type of optical fiber sensing unit, calculates acceleration information of an object on which an IMU sensor (10) is mounted based on the strain information, generates angular velocity information based on output light of a second type of optical fiber sensing unit, and calculates angle information of the object based on the rotational speed information.

A power tool includes a housing, a motor received in the housing, an output driven by the motor, and a control system. The control system includes a rotational motion sensor configured to generate a rotational motion signal that corresponds to a rotational motion of the housing about an axis, a current sensor configured to generate a motor current signal that corresponds to an amount of current drawn by the motor, and a control circuit that is configured to receive the rotational motion signal and the motor current signal and to control operation of the motor. The control circuit is configured: (a) to determine, based on the current signal, whether a detected kickback condition is likely to be false; (b) to determine, based upon the rotational motion signal, whether an uncontrolled kickback condition has occurred; and (c) to initiate one or more protective operations upon determining that an uncontrolled kickback condition has occurred and is not likely to be false.

A power tool includes a housing, a motor received in the housing, an output driven by the motor, and a control system. The control system includes a rotational motion sensor configured to generate a rotational motion signal that corresponds to a rotational motion of the housing about an axis, a current sensor configured to generate a motor current signal that corresponds to an amount of current drawn by the motor, and a control circuit that is configured to receive the rotational motion signal and the motor current signal and to control operation of the motor. The control circuit is configured: (a) to determine, based on the current signal, whether a detected kickback condition is likely to be false; (b) to determine, based upon the rotational motion signal, whether an uncontrolled kickback condition has occurred; and (c) to initiate one or more protective operations upon determining that an uncontrolled kickback condition has occurred and is not likely to be false.

Disclosed herein is a vibration monitoring and diagnosing system for monitoring conditions of a wind power generator and diagnosing a defective portion thereof using vibration characteristics obtained from acceleration sensors mounted to the wind power generator. A vibration-based defect detecting method may include: collecting vibration data of the wind power generator using the plurality of sensors; extracting a first characteristic value of a time domain based on the vibration data; extracting characteristic values in one or more frequency bands for a location of each sensor in a frequency domain or an envelope frequency domain if the first characteristic value is greater than a preset alarm setting value; and determining that a defect is present when at least one characteristic value of the characteristic values is greater than a preset normal value.