An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

New activity recognition, recording, analysis and control techniques, systems and sensors are provided. In one embodiment, multiple sensory tags with unique identification and data transfer attributes, create positional, movement, orientation and acceleration data and supply it to a control system. The tags may be placed at location(s) on the user's body, clothing, personal effects, exercise equipment and other activity-relevant locations, to enhance activity recognition and mapping. The system may define a personal activity space, sample data preferentially from that space, and perform a simplified form of object-recognition to determine, record and analyze user activities.

A method and system for monitoring physiological movements and providing feedback to increase a user's kinesthetic awareness utilizes a kinesthetic awareness tool that includes a plurality of sensors, a processing unit, and a plurality of feedback devices. The plurality of sensors is used to gather data as a set of reference data and in real-time as a user engages in a training session. The plurality of sensors may include an accelerometer, gyroscope, magnetometer, and ultrasonic range finder. Data obtained during the training session is processed in real-time by the processing unit and compared to the set of reference data. The processing device may then instruct one or more of the plurality of feedback devices to produce a response signal to guide the user to the correct position. The plurality of feedback devices may be configured to provide acoustic, visual, haptic, or kinetic feedback.

A method of monitoring at least one person in an event, comprises providing at least one sensor associated with the person, measuring data using the at least one sensor, wherein the measured data includes data representative of a motion of at least one part of the person's body, the method further comprising, by a processing unit based at least on said data, determining at least one insight, wherein said insight is characteristic of at least one of (a) an action performed by the person in the event and (b) an event situation, thereby facilitating characterization of at least one of the person and the event.

A method for providing exercise load information of a target entity is provided. The method includes obtaining a target data set of the target entity for a target exercise session including a plurality of time units, wherein the target data set includes a sequence of kinematic information of the target entity for each of the plurality of time units; and determining, based on the target data set, an estimated load index reflecting a level of exercise load of the target entity for the target exercise session using an artificial neural network (ANN).

A system for motion analysis includes a sensing device positioned at a knee joint of a bicycle rider, and an electronic device in communication with the sensing device. The electronic device is configured to receive, from the sensing device, a series of pieces of sensed data representing orientations of the sensing device at different times, to determine a motion trajectory of a knee of the rider based on the received pieces of sensed data, and to generate an estimation result regarding correctness of a riding posture of the rider based on the motion trajectory.

There is disclosed a system for conducting multi-member group competitions involving physical exertion, the system includes a competition server that serves to designate a set of parameters for a competition involving at least two competing groups of individuals engaged in physical activity, the set of parameters defining a win condition requiring physical activity to be completed by at least two separate individuals within each group. The system further receives data representative of physical activity of multiple individuals in a first group, receives data representative of physical activity of multiple individuals in a second group, determines whether the win condition has been satisfied by the first group or the second group, and identifies a winner as the first group or the second group that completed the win condition.

The present invention may be embodied as a system or method for dynamically exercising a user's neck muscles. The system includes a headset, an arm attached thereto, a weight, and at least one motor to move the weight, for example, about the arm. The weight may be mounted eccentrically on a radial track that is rotatable by one motor and moved linearly by another motor. The direction of the arm, the distance between an apex of the headset and the weight, the eccentricity of the weight on the axis, and the speed of rotation of the motor are all parameters that can be adjusted by the caregiver or user, either manually or via controlling software.

An electromechanical device for rehabilitation includes pedals coupled to radially-adjustable couplings, an electric motor coupled to the pedals via the radially-adjustable couplings, and a control system including a processing device operatively coupled to the electric motor. The processing device configured to, responsive to a first trigger condition occurring, control the electric motor to operate in a passive mode by independently driving the radially-adjustable couplings rotationally coupled to the pedals. The processing device also configured to, responsive to a second trigger condition occurring, control the electric motor to operate in an active-assisted mode by measuring revolutions per minute of the radially-adjustable couplings, and cause the electric motor to drive the radially-adjustable couplings when the measured revolutions per minute satisfy a threshold condition, and responsive to a third trigger condition occurring, control the electric motor to operate in a resistive mode by providing resistance to rotation of the radially-adjustable couplings.

A system for analysis of user gait and foot disorder intended to minimize risks ulceration and limb amputation associated with the uncontrolled increase of the foot temperature in persons with diabetes. This system comprises a motion, force and temperature sensors and a processing element configured to process motion algorithms, measure ground reaction force (GRF) and changes in foot temperature embedded in the footwear insoles in communication with a smartphone based analysis application using wireless radio interface. The analysis application processes data received from the footwear sensors, compares the results with set of criteria and rules, and if any of the predefined criteria is exceeded, provides alerts to the user and the remote medical supervisor. Additionally, the insoles may be equipped with a haptic actuators configured to determine the level of the user neuropathy by measuring vibration perception threshold (VPT) level.