Energy efficient hands-free activation is becoming a ‘must have’ feature in mobile devices, wearables, smart speakers and many other battery operated devices. Features such as voice control, gesture control or face unlock demand an always-on user interface (UI) in order to be totally hands-free. While employing intensive signal processing algorithms, such as those used for speech recognition and face detection, the supporting technology must consume very little power in order to conserve battery life.
Sensing is a key feature of smartphones, wearables and IoT devices. Combined processing of sensory data from disparate sources, also known as Sensor Fusion, provides valuable contextual awareness for a host of user applications. Multiple MEMS sensors such as 9-Axis motion sensors, barometer, thermometer and others call for a high-precision sensor fusion DSP to accurately and efficiently deduce motion and environmental data, and eliminate false readings.
The key to meeting these requirements is to choose signal processing IP that provides the following:
- A highly optimized Arithmetic Instruction Set Architecture (ISA) and a rich control ISA that are efficiently utilized by the compiler as it handles Sensor Fusion software, which often mixes arithmetic and control code.
- Ultra-low power consumption, enabling it to efficiently sustain always-on operation.
- Minimal silicon area, which allows for very low leakage power as well as a cost effective implementation.
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