Logistical and enrollment issues

This pilot study will seek to use emotion recognition technology from video to link patient facial expressions, heart rate and respiratory rate changes, and movement patterns to patient pain scores.

During hospitalization, beginning after orthopedic surgery, study participants will be asked to wear a small motion detector on their wrist. A computer vision system which analyzes both whole-body movement as well as facial expressions will be used at the bedside to compare common signs and symptoms of post op pain to patient pain scores.

Up to 30 study participants will be selected.

Study participants will be asked to complete a written pain diary during waking hours.This information will be compared to the pain scores found in the patient's medical record and/or the amount and frequency of pain medications they receive.

Inclusion Criteria:

• Recovery following Orthopedic Surgery
• Non-vulnerable adult patient
• Residing on the 6th floor of the South Tower of UF Health Shands Hospital
• Under the care of the acute pain service

Exclusion Criteria:

• Inability to understand pain assessments
• Inability to wear a motion tracking device
• Amputation of limb
• Vulnerable subject status
• Anticipated discharge from hospital within 24 hours following enrollment
• < 21 years of age

Adult patients (age >21) recovering from orthopedic surgery residing in an area hospital and under the care of the acute pain service.