At the start of the nine-day residential retreat, we will administer the Oxford Happiness Questionnaire to the retreat participants. The participants will also sign an agreement that they will consent to them being photographed. Each participant will be deidentified by name or but we will use video photography to record the sessions so that the participants will be videographed throughout the duration of the daily period of sitting meditation. While the eyes are closed during the meditation sessions, hence eyes can be blacked out to conceal identification, other facial features such as smiles can be captured during the meditation session and will be analysed using machine learning. We will use "smiling" and facial relaxation as indicators of happiness. At the end of the meditation retreat that will last for nine days, the participants will fill out another set of questionnaires to capture their states of happiness. Two sets of questionnaires per person will be generated along with facial recognition data. These data will be analysed using R for statistical computing for machine learning algorithm to identify patterns of happiness, which will then be matched with the happiness scores indciated by the video recording and recording of the facial features.