Patent classifications
A63B2230/70
SMART DEVICE
A smart vehicle flock navigation system includes a plurality of smart vehicles configured to follow a leader smart vehicle, wherein the leader smart vehicle is configured to follow a target vehicle or a target driving plan; each smart vehicle being equipped with: obstacle detection and avoidance capabilities; vehicle-to-vehicle communication means for transmitting information about obstacles and evasive actions to following smart vehicles; a flock control module for adjusting the driving path of the smart vehicle flock based on transmitted obstacle information; a flocking behavior algorithm based on three independent rules: Separation, Alignment, and Cohesion, controlling the motion of each smart vehicle within the flock; and a distributed flocking operation mechanism utilizing wireless network communication for coordinating the behavior of the smart vehicle flock.
Performance monitoring systems and methods
Systems and methods for electronically providing fitness activity feedback to a user are disclosed. The method may include collecting performance data, generating comparison data by comparing the respective performance and including identifying comparison performance data representative of performance differences, and displaying the comparison data and the comparison performance data.
Barcode generation and implementation method and system for processing information
A system and method for generating and implementing a barcode is provided, wherein the system includes a data generation device configured to receive data and generate barcode data response to the received data, a barcode generation device, configured to receive the barcode data and generate a barcode responsive to the received barcode data, a display device, configured to display the barcode and a barcode receiving device, configured to receive the barcode and operate in response to the barcode.
SMART DEVICE
An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.
SYSTEM AND METHOD FOR INTELLIGENT SELF-CALIBRATION OF TARGET LOAD THRESHOLDS FOR USERS OF EXERCISE MACHINES
A system and method for intelligent self-calibration of target load thresholds for users of exercise machines is disclosed herein. In one embodiment, a method includes determining, by one or more processing devices, a bone geometry of a bone in a portion of a body of a user, where said portion is going to be exercised by the user performing an exercise on an exercise machine. The method also includes determining, using the bone geometry, a strain on the bone in the portion of the body of the user such that the strain triggers osteogenesis, determining a target load threshold to be added by the user to the exercise machine during the exercise to achieve the strain that triggers osteogenesis, and, while the user performs the exercise on the exercise machine, causing the target load threshold to be represented on a user interface of a computing device.
Blockchain
An Internet of Thing (IoT) device includes a transceiver coupled to a processor. Blockchain smart contracts can be used with the device to facilitate secure operation.
Portable monitoring devices and methods of operating same
According to one embodiment, an apparatus comprising a portable monitoring device to be affixed to a user. The portable monitoring device including: 1) a set of one or more sensors to generate sensor data indicative of physical activity of a user when the portable monitoring device is affixed to the user; and 2) processing circuitry coupled with the set of sensors, to detect that the user has been sedentary for a period of time, and cause the portable monitoring device to alert the user responsive to the detection to encourage the user to move.
SYSTEM AND METHOD FOR MONITORING OR ASSESSING PHYSICAL FITNESS FROM DISPARATE EXERCISE DEVICES AND ACTIVITY TRACKERS
Physical fitness assessment systems and methods and wellness assessment systems and methods are disclosed. One physical fitness assessment system includes an exercise device and a host computer. The exercise device is configured to track movement of the exercise device by a user, determine a current physical activity data of the user based on, at least, the tracked movement, and transmit the current physical activity data of the user. The host computer is configured to receive from the exercise device the current physical activity data of the user, receive a physical fitness assessment selection to apply to the current physical activity data, compare the current physical activity data against benchmark physical activity data correlated with the exercise device, determine a physical fitness assessment of the user, generate the physical fitness assessment image based on the physical fitness assessment of the user, and present the physical fitness assessment image.
Biometric assessment in fitness improvement
In some embodiments, an automated system comprises one or more biometric sensors, an interactive screen, and an exercise routine generation application communicable with a mobile application. In some embodiments, the mobile application receives data from an automated station and displays exercise routines, other exercise information, or both. In some embodiments, the mobile application includes a scanner to scan labels, other indicia, or physical or other features of an exercise machine or other exercise apparatus to identify the machine or apparatus. In some embodiments, the mobile application communicates with one or more local or remote databases identifying differing exercise facility locations within a geographic area and identifying exercise apparatus available in each of the differing facilities.
System and method for monitoring or assessing physical fitness from disparate exercise devices and activity trackers
Physical fitness assessment systems and methods and wellness assessment systems and methods are disclosed. One physical fitness assessment system includes an exercise device and a host computer. The exercise device is configured to track movement of the exercise device by a user, determine a current physical activity data of the user based on, at least, the tracked movement, and transmit the current physical activity data of the user. The host computer is configured to receive from the exercise device the current physical activity data of the user, receive a physical fitness assessment selection to apply to the current physical activity date, compare the current physical activity data against benchmark physical activity data correlated with the exercise device, determine a physical fitness assessment of the user, generate the physical fitness assessment image based on the physical fitness assessment of the user, and present the physical fitness assessment image.