Abstract: A carrying system for a SUV hardtop, which includes a carrier that allows the hardtop and doors to be detached from the vehicle but still kept with the vehicle while removed. The carrying system allows for easy attachment and securing of the hardtop and doors to the carrier. In some exemplary embodiments, the carrier attaches to the hitch and to the rear-mounted spare tire carrier of the SUV. In other exemplary embodiments, the carrier attaches to the vehicle only at the hitch. Conveying the doors and hardtop with the SUV allows the SUV, at any time and in any place, to be converted quickly between convertible and non-convertible modes, depending on weather conditions and other factors.

Abstract: A carrying system for a SUV hardtop, which includes a carrier that allows the hardtop and doors to be detached from the vehicle but still kept with the vehicle while removed. The carrying system allows for easy attachment and securing of the hardtop and doors to the carrier. In some exemplary embodiments, the carrier attaches to the hitch and to the rear-mounted spare tire carrier of the SUV. In other exemplary embodiments, the carrier attaches to the vehicle only at the hitch. Conveying the doors and hardtop with the SUV allows the SUV, at any time and in any place, to be converted quickly between convertible and non-convertible modes, depending on weather conditions and other factors.

Abstract: Device-based activity classification using predictive feature analysis is described, including receiving a signal from a sensor coupled to a device, the sensor being configured to detect the signal over a time period and to detect motion, evaluating the signal to generate data, the data being used to indicate motion, the data being further evaluated to select a classifier based on whether the motion is detected, activating another sensor coupled to the device, the another sensor being configured to detect another signal that is substantially different than the signal, the another signal being used to generate other data associated with whether the motion is detected, invoking the classifier, the classifier being configured to evaluate a predictive feature to identify a type associated with whether the motion is detected, the predictive feature invoking an application configured to determine the type and a state using a feature interpreter, and processing the data using the application and the feature interpre

Abstract: A strap band including a flexible wire bus having electrodes and wires coupled with the electrodes is described. The wire bus may be include in a strap band formed by molding an inner strap, mounting the wire bus in the inner strap, and injection molding an outer strap over the inner strap and wire bus to form a strap band. The electrodes may be positioned on the inner strap to accommodate a target range of a body portion the strap band may be worn on. A material of the strap band and a material the wire bus may be selected to allow a low coefficient of friction between the wire bus and strap band so that loads applied to the strap band may not be coupled with the wire bus or cause damage to wires due to pull and/or torsional load forces applied to the strap band.

Abstract: Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices. More specifically, a wearable pod and/or device and processes to form the same facilitate implementation of a touch-sensitive interface in association with a predominately opaque surface. According to an embodiment, a wearable pod includes a first pod cover, a cradle including attachment points, and a touch-sensitive detector disposed in the cradle and configured to detect a change in capacitance to a range of capacitance values. Further, the wearable pod may include a second pod cover and an isolation belt to electrically isolate at least a portion of a pod cover from the other pod cover.

Abstract: Device-based activity classification using predictive feature analysis is described, including receiving a signal from a sensor coupled to a device, the sensor being configured to sense the signal over a time period, evaluating the signal to generate data, the data being further evaluated to select a classifier, invoking the classifier, the classifier being configured to evaluate a predictive feature, the predictive feature invoking an application configured to determine a state using a feature interpreter, and processing the data using the application and the feature interpreter to generate information associated with a biological state, the information being configured to display on an interface associated with the device.

Abstract: Device-based activity classification using predictive feature analysis is described, including evaluating an indicator associated with a predictive feature, identifying an application, using the name, to be performed, and invoking the application, the application being configured to interpret the indicator to determine an operation to perform at one or more levels of a protocol stack using data generated from evaluating a signal detected by a sensor, the sensor being coupled to a wearable device, and the application being configured to perform the operation using other data generated from evaluating another signal detected by another sensor, the another sensor being substantially different than the sensor.

Abstract: Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices. More specifically, a wearable pod and/or device and processes to form the same facilitate implementation of a touch-sensitive interface in association with a predominately opaque surface. According to an embodiment, formation of a wearable pod includes detecting a capacitance value at a pod cover portion, determining a mode of operation based on a capacitance value, receiving subsets of sensor data, and selecting a subset of sensor data based on a mode of operation. The method can include determining values of at least one physiological signal and identifying a subset of light sources to emit light through an arrangement of micro-perforations constituting symbols indicative of the values of the physiological signal.

Abstract: Device-based activity classification using predictive feature analysis is described, including receiving a signal from a sensor configured to measure a heart rate coupled to a device, the sensor being configured to sense the signal over a time period, evaluating the signal to generate data associated with the heart rate, the data being further evaluated to select a classifier, invoking the classifier, the classifier being configured to evaluate the data to identify a predictive feature, the predictive feature invoking an application configured to determine a state using a feature interpreter, the application also being configured to evaluate other data from another signal, the signal being configured to detect a respiration rate, and processing the data and the other data using the application and the feature interpreter to generate information associated with sleep, the information being configured to display on an interface associated with the device.

Abstract: Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices, and, in particular, to a wearable device implementing a touch-sensitive interface in a metal pod cover and/or bioimpedance sensing to determine physiological characteristics, such as heart rate. According to an embodiment, a wearable device includes a selectably opaque surface configured to emit arrangements of light to form a display, and a touch-sensitive I/O control circuit coupled to the selectably opaque surface to detect a capacitance value as an input signal to modify the display. Also, the wearable device can include one or more straps coupled to a wearable pod, at least one of the one or more straps including electrodes for sensing a physiological characteristic. A display controller can be configured to display a representation as a function of a value of the physiological characteristic via the selectably opaque surface.

Abstract: Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices, and, in particular, to near-field antenna structures and formation methods for a wearable pod and/or device implementing a touch-sensitive interface in a metal pod cover. According to an embodiment, forming a wearable pod includes selecting a cradle having an attachment portion, forming an anchor portion to bind to the cradle and to an elastomer. The anchor portion includes a channel to provide support. Further, the method includes selecting an antenna having a width dimension sized less than a width dimension of the channel, disposing a portion of the antenna in the channel, and implementing terminals of the antenna coupled to circuitry of a near-field communication device.

Abstract: Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices, and, in particular, to antenna structures and formation methods for a wearable pod and/or device implementing a touch-sensitive interface in a metal pod cover. According to an embodiment, formation of a wearable pod includes selecting an antenna having a first surface area that extends beyond a second surface area associated with an attachment portion a cradle for a wearable pod. The method also includes forming an under-anchor portion composed of an interface material configured to bind to the cradle and to an elastomer, and disposing the antenna on a surface of the under-anchor portion at a distance from the second surface area associated with the attachment portion. Also, the method can include forming an over-anchor portion.

Abstract: Embodiments relate generally to a wearable device implementing a touch-sensitive interface in a metal pod cover and/or bioimpedance sensing to determine physiological characteristics, such as heart rate. According to an embodiment, a method includes receiving an amplified signal including a portion of the physiological-related signal component including data representing a physiological characteristic, the amplified signal being derived from bioimpedance signal based on an impedance value of a tissue, and identifying a magnitude of a portion of the physiological-related signal component. Also, the method can compare the magnitude of the portion against another magnitude of a data model (e.g., in a time-domain) to form a matched value.

Abstract: Embodiments relate generally to a wearable device implementing a touch-sensitive interface in a metal pod cover and/or bioimpedance sensing to determine physiological characteristics, such as heart rate. According to an embodiment, a wearable device and method includes determining a drive current signal magnitude for a bioimpedance signal to capture data representing a physiological-related component, and selecting the drive current signal magnitude as a function of an impedance of a tissue. Further, the method can include driving the bioimpedance signal to that are configured to convey the bioimpedance signal to the tissue. Also, the method can receive the sensor signal from the tissue, adjust a gain for an amplifier, and apply the gain to data representing the physiological-related component. The method can include generating an amplified signal to include a portion of the physiological-related signal component that includes data representing a physiological characteristic.

Abstract: A carrying system for a jeep hardtop, which includes a carrier that allows the hardtop and doors to be detached from the vehicle but still kept with the vehicle while removed. The carrying system allows for easy attachment and securing of the hardtop and doors to the carrier. In some example embodiments, the carrier attaches to the hitch and to the rear-mounted spare tire carrier of the jeep. In other example embodiments, the carrier attaches to the vehicle only at the hitch. Conveying the doors and hardtop with the jeep allows the jeep, at any time and in any place, to be converted quickly between convertible and non-convertible modes, depending on weather conditions and other factors.