A feedback system is provided. The feedback system includes a main body, a vibration module, a sensing module, and a control module. The vibration module includes a first vibration mechanism. The first vibration mechanism is used for providing a first vibration force to the main body at a first vibration position. The sensing module is used for detecting the status of the main body and providing a sensing signal. The control module is used for receiving the sensing signal and providing a driving signal to the first vibration mechanism to generate the first vibration force.

A feedback system is provided. The feedback system includes a main body, a vibration module, a sensing module, and a control module. The vibration module includes a first vibration mechanism. The first vibration mechanism is used for providing a first vibration force to the main body at a first vibration position. The sensing module is used for detecting the status of the main body and providing a sensing signal. The control module is used for receiving the sensing signal and providing a driving signal to the first vibration mechanism to generate the first vibration force.

A computer implemented method can include sending additional information concerning an upcoming event to a conversion unit for generation of an appointment reminder for the upcoming event that is to be sent to one or more endpoints. A telecommunication platform can process the appointment reminder to send a visual and/or audible signal to a user via one or more endpoint devices so that the reminder can be processed and responded to via at least one of the endpoint devices.

A computer implemented method can include sending additional information concerning an upcoming event to a conversion unit for generation of an appointment reminder for the upcoming event that is to be sent to one or more endpoints. A telecommunication platform can process the appointment reminder to send a visual and/or audible signal to a user via one or more endpoint devices so that the reminder can be processed and responded to via at least one of the endpoint devices.

A wearable device can facilitate automatic adjustment of a volume control and/or other settings of a host device based on properties of the ambient environment. For example, when a host device generates an audible alert, a wearable device can sample the ambient sound to detect a distinct contribution corresponding to the audible alert; if the contribution is outside acceptable levels, the wearable device can notify the host device to adjust the alert volume and/or other alert characteristics. Adjustments to host-device settings can also be made based on comparing audio signals collected by the host device and the wearable device.

A wearable device can facilitate automatic adjustment of a volume control and/or other settings of a host device based on properties of the ambient environment. For example, when a host device generates an audible alert, a wearable device can sample the ambient sound to detect a distinct contribution corresponding to the audible alert; if the contribution is outside acceptable levels, the wearable device can notify the host device to adjust the alert volume and/or other alert characteristics. Adjustments to host-device settings can also be made based on comparing audio signals collected by the host device and the wearable device.

Proximity of a user/device to a designated location or other user/device can be determined and used to trigger automatic reconfiguration of a telephone ring list associated with the user/device. Accordingly, there is no need for manual reconfiguration to accommodate changes in the user's location or schedule. Specific phone numbers may be added or removed from a user's ring list based on proximity information, and the ring list may be reconfigured as the user arrives at or departs from a designated location. The user's desired phones will automatically ring for incoming calls based on the ring list and/or an identification of the incoming call.

Proximity of a user/device to a designated location or other user/device can be determined and used to trigger automatic reconfiguration of a telephone ring list associated with the user/device. Accordingly, there is no need for manual reconfiguration to accommodate changes in the user's location or schedule. Specific phone numbers may be added or removed from a user's ring list based on proximity information, and the ring list may be reconfigured as the user arrives at or departs from a designated location. The user's desired phones will automatically ring for incoming calls based on the ring list and/or an identification of the incoming call.

A system and method for processing a plurality of channels, for example audio channels, in parallel is provided. For example, a plurality of telephony channels are processed in order to detect and respond to call progress tones. The channels may be processed according to a common transform algorithm. Advantageously, a massively parallel architecture is employed, in which operations on many channels are synchronized, to achieve a high efficiency parallel processing environment. The parallel processor may be situated on a data bus, separate from a main general-purpose processor, or integrated with the processor in a common board or integrated device. All, or a portion of a speech processing algorithm may also be performed in a massively parallel manner.

A system and method for processing a plurality of channels, for example audio channels, in parallel is provided. For example, a plurality of telephony channels are processed in order to detect and respond to call progress tones. The channels may be processed according to a common transform algorithm. Advantageously, a massively parallel architecture is employed, in which operations on many channels are synchronized, to achieve a high efficiency parallel processing environment. The parallel processor may be situated on a data bus, separate from a main general-purpose processor, or integrated with the processor in a common board or integrated device. All, or a portion of a speech processing algorithm may also be performed in a massively parallel manner.