Detectors and related systems and methods for automatically detecting made and missed basketball shots using ultrasonics are provided. A launcher is connected to a structural subassembly and passes basketballs to locations about a basketball playing area having a basketball goal. A detector having at least one ultrasonic sensor is selectively positioned below and adjacent to a rim of the basketball goal and transmits bursts of ultrasonic signals. A processor monitors for reflections of the transmitted bursts occurring within a specified time period after transmission excluding an initial time period and time after the specified time period, and records a made shot where reflections of the transmitted bursts are detected within the specified time period. An accelerometer may optionally be included for determining if the made shot was a swish.

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 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 exercise machine accessory is disclosed. In one embodiment, a resistance identifier is configured to identify resistance for an exercise machine associated with the exercise machine accessory, wherein the resistance identifier is coupled to the exercise machine. In one embodiment, a motion identifier is configured to identify exercise motion for a user of the exercise machine. In one embodiment, a communications module is configured to communicate with the user of the exercise machine, wherein the communications module is coupled to the resistance identifier and the motion identifier.

The neurological rehabilitation system described includes at least visual display components, a robotic platform, a sensor array, and a neurological rehabilitation controller. The neurological rehabilitation controller controls the robotic platform based on outputs from the sensor array and generates at least a real-time visual simulation displayed using the visual display components. The generated real time visual simulation simulates a task as part of an enhanced task-oriented therapy for a patient undergoing neurological rehabilitation. The robotic platform is a physical structure that interfaces with the patient and facilitates the patient's movement of various body parts (e.g., arms and/or legs) in synchrony with the real-time visual simulation to perform a virtual task over time. The robotic platform also receives control instructions from the neurological rehabilitation controller, which articulate the platform and apply resistance force to the patient interface(s) to create a more realistic task experience.

A smart soccer goal for tracking and communicating motion of objects includes a goal frame; a net coupled to the goal frame including a plurality of lights; and one or more sensors coupled to the goal frame. A first sensor of the one or more sensors is directed to detecting movement within and immediately near the smart soccer goal and a second sensor of the one or more sensors is directed to detecting movement outside of the smart soccer goal.

Embodiments provide physiological measurement systems, devices and methods for continuous health and fitness monitoring. A lightweight wearable system is provided to collect various physiological data continuously from a wearer without the need for a chest strap. The system also enables monitoring of one or more physiological parameters in addition to heart rate including, but not limited to, body temperature, heart rate variability, motion, sleep, stress, fitness level, recovery level, effect of a workout routine on health, caloric expenditure. Embodiments also include computer-executable instructions that, when executed, enable automatic interpretation of one or more physiological parameters to assess the cardiovascular intensity experienced by a user (embodied in an intensity score or indicator) and the user's recovery after physical exertion (embodied in a recovery score). These indicators or scores may be displayed to assist a user in managing the user's health and exercise regimen.

Training at the proper level of effort is important for athletes whose objective is to achieve the best results in the least time. In running, for example, pace is often monitored. However, pace alone does not reveal specific issues with regard to running form, efficiency, or technique, much less inform how training should be modified to improve performance or fitness. A sensing system and wearable sensor platform described herein provide real-time feedback to a user/wearer of his power expenditure during an activity. In one example, the system includes an inertial measurement unit (IMU) for acquiring multi-axis motion data at a first sampling rate, and an orientation sensor to acquire orientation data at a second sampling rate that is varied based on the multi-axis motion data.

A sensor event detection and tagging system that analyzes data from multiple sensors to detect an event and to automatically select or generate tags for the event. Sensors may include for example a motion capture sensor and one or more additional sensors that measure values such as temperature, humidity, wind or elevation. Tags and event detection may be performed by a microprocessor associated with or integrated with the sensors, or by a computer that receives data from the microprocessor. Tags may represent for example activity types, players, performance levels, or scoring results. The system may analyze social media postings to confirm or augment event tags. Users may filter and analyze saved events based on the assigned tags. The system may create highlight and fail reels filtered by metrics and by tags.

A head guard is provided. The head guard includes one or more sensors as part of an sensory input and communications system. The head guard wirelessly communicates data to remote computing devices for intelligent data collection.