The document analyzes biometric data from wearable sensors to detect important events in a person's daily life and automatically create a picture summary to improve their memory. A SenseCam camera takes pictures throughout the day along with sensors measuring biometric data. Significant events are identified when sensor data crosses a calculated threshold, indicating activities like exercise or social interactions. While emotionally intense events can be detected, determining the specific emotion requires additional sensors since experiences produce similar biometric responses. Future work involves independently analyzing segmented events and establishing emotion classifiers through rigorous experimentation.