sensor capturer

a device that captures sensory experiences beyond what audio and video recording covers — smell, touch, temperature, humidity, spatial orientation. the problem it's solving: you can video a concert, but you can't record how the room smelled or the physical feeling of the crowd. memory research shows these modalities are often the most emotionally salient; losing them means losing the texture of the experience. the device would act as a wearable multimodal logger, capturing a richer slice of lived experience for later recall.

the hardware side is tractable. most of the relevant sensors are cheap and small: gas sensors for rough olfactory capture, temperature/humidity, barometric pressure, accelerometer/gyroscope for motion and orientation. the harder problem is making sense of the data — raw sensor streams aren't interpretable without calibration and context. the interesting approach is pairing the raw sensor data with an LLM-based annotation layer that infers "this was a forest, cold morning, post-rain" from the sensor fingerprint combined with location/time metadata. over time, the system could learn personal sensory associations (this temperature + smell pattern = the beach house).