A device includes a signaling means and a motion sensor, and logic for activating or controlling the signaling means in response to a sensed motion according to an embedded logic. The device may be used as a toy, and may be shaped like a play ball or as a handheld unit. It may be powered from a battery, either chargeable from an AC power source directly or contactless by using induction or by converting electrical energy from harvested kinetic energy. The embedded logic may activate or control the signaling means, predictably or randomly, in response to sensed acceleration magnitude or direction, such as sensing the crossing of a preset threshold or sensing the peak value. The visual means may be a numeric display for displaying a value associated with the count of the number of times the threshold has been exceeded or the peak magnitude of the acceleration sensed.

A wearable device such as a garment is disclosed, having at least one sensor, for sensing a parameter. Electronics are provided for processing the sensed parameter, and for providing feedback. Feedback may be in the form of proprioceptive tactile or audible feedback, or in the form of an adjustment of a performance parameter of the wearable device. In one implementation, the processor is configured to activate an effector to provide feedback to the wearer to make a body position correction to bring the position into alignment with predetermined body position reference data.

A device includes a signaling means and a motion sensor, and logic for activating or controlling the signaling means in response to a sensed motion according to an embedded logic. The device may be used as a toy, and may be shaped like a play ball or as a handheld unit. It may be powered from a battery, either chargeable from an AC power source directly or contactless by using induction or by converting electrical energy from harvested kinetic energy. The embedded logic may activate or control the signaling means, predictably or randomly, in response to sensed acceleration magnitude or direction, such as sensing the crossing of a preset threshold or sensing the peak value. The visual means may be a numeric display for displaying a value associated with the count of the number of times the threshold has been exceeded or the peak magnitude of the acceleration sensed.

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

A non-limiting example training instrument comprises a hollow main body formed of an aluminum alloy. The main body is constituted by two gripping portions opposite to each other with a space therebetween and a coupling portion coupling the two gripping portions. A load sensor is arranged in the coupling portion inside the main body. The load sensor is a load cell, a strain gauge affixed to an interior of the main body, and a part of the main body to which the strain gauge is affixed functions as a strain body. Therefore, if a user applies a force so as to bring the two gripping portions close to each other or a force so as to move the two gripping portions away from each other, a load thereof is detected by the load sensor.

A method includes: supporting a normal operation mode, during which functionalities of a portable apparatus are available through an operating system of the apparatus, wherein the operating system includes a plurality of layers including a kernel and library functions layer; supporting a limited operation mode during which the apparatus is configured to execute a physical activity algorithm based on physical activity data corresponding to a physical activity session performed by a user of the apparatus, wherein the physical activity algorithm applies a direct low-level hardware access bypassing at least the layers above the kernel and the library functions-layer; and switching between the normal operation mode and the limited operation mode

The present application relates generally to managing media. In some embodiments, time-coded skill performance event data is derived from end-user hardware including a plurality of Motion Sensor Units (MSUs), such as a MSU-enabled garment. Data derived from the MSUs is processed to identify performance events representative of specific predefined physical motion-based skills. This allows automated categorisation and/or identification of video data responsive to presence of particular skills that have been performed and captured.

A system for a virtual and mixed-reality enhanced exercise machine that allows a user to exercise while interacting with a virtual reality or mixed reality environment using whole body movements and positioning, and receiving haptic feedback associated with the user's interaction with the virtual reality or mixed reality environment.

The invention relates to a device (100) for performing exercises, comprising a housing (105), a deviation sensor (140) for detecting a deviation of said housing (105) from an equilibrium, and a control unit (110) coupled to said deviation sensor (140) arranged to count deviations from the equilibrium.

Systems and methods for estimating emotional states, moods, affects of an individual and providing feedback to the individual or others are disclosed. Systems and methods that provide real time detection and monitoring of physical aspects of an individual and/or aspects of the individual's activity and means of estimating that person's emotional state or affect and change to those are also disclosed. Real time feedback to the individual about the person's emotional change, change or potential change is provided to the user, helping the user cope, adjust or appropriately act on their emotions.