Abstract: Embodiments may provide improved techniques and devices for person identification that are discreet, offline, that can be trained in real-time and are physically small to provide the comfortable and convenient use in everyday situations. For example, in an embodiment, a system may comprise a wearable device comprising a visual display, an audio output device, and at least one sensor, a computer system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, receiving, from at least one sensor, data captured by the sensor, identifying a person based on the data captured by the sensor using a trained machine learning model, and indicating an identity of the person using at least one of the visual display and the audio output device. A person is also identified using fusion data recognition of sensor data fusion of at least two types of sensor data.