SEMIC Magic Gesture Computing® (MGC)


Application: Human Body Language Monitoring

One of the languages of communication is body language. Languages usually are divided into two categories: verbal and nonverbal. Body language is a type of nonverbal communication in which the body’s movements and actions are utilized instead of words to communicate and transmit information. Nonverbal cues such as gestures, body posture, eye movement, facial expressions, touch, and personal space utilization are all examples of body language.

Monitoring of Human Vital Signs:
SEMIC Magic Gesture Computing® can analyze a patient's gestures and derive vital signs such as heart rate, respiratory rate, and blood pressure. For example, changes in the speed or pattern of hand movements can indicate increased heart rate or respiratory distress. By continuously monitoring these vital signs, SEMIC Magic Gesture Computing® can detect abnormalities or fluctuations that may require medical attention.

Fall Detection:

Elderly patients or individuals with mobility problems are prone to falls, which can lead to severe injuries. SEMIC Magic Gesture Computing® based gesture monitoring can detect sudden changes in movement patterns, balance, or gestures that indicate a fall. When a fall is detected, an alert can be sent to a healthcare provider or caregiver, enabling them to respond immediately and provide necessary assistance.

Medication Adherence:
Gesture monitoring can help track and analyze a patient's adherence to therapy. By monitoring gestures related to taking medication, such as opening pill bottles or other hand movements concerning administering medication, SEMIC Magic Gesture Computing® can determine if patients are adhering to their prescribed medication schedule. If discrepancies or noncompliance occur, medics will be involved to take appropriate action to ensure compliance with the medication plan.

Behavioral Analysis:
SEMIC Magic Gesture Computing® can analyze patients' gesture patterns over time to identify behavioral changes that may indicate health problems. For example, changes in gait, hand tremors, or repetitive gestures can indicate neurological disorders such as Parkinson's disease. By gesture monitoring and analyzing continuously, SEMIC Magic Gesture Computing® can detect such changes at an early stage, ensuring that doctors can promptly initiate further necessary investigative measures.

Posture and Pain Assessment:
SEMIC Magic Gesture Computing® monitoring can assess a patient's posture and detect signs of discomfort or pain. By analyzing changes in body movements, hand placements, or facial expressions, the system can identify abnormal postures or indications of pain. Physicians can be alerted to such circumstances, allowing them to evaluate the patient's condition and provide appropriate pain management strategies or interventions.

Early Warning Scores:
By integrating gesture monitoring data with other health data, such as electronic health records and vital sign measurements, SEMIC Magic Gesture Computing® can develop predictive models or early warning scores. These values help detect patients at increased risk of deteriorating health or the occurrence of additional adverse circumstances based on their gestures and other health parameters. Physicians can be involved if a patient's early warning score exceeds a certain threshold, allowing early intervention and preventing further complications in the patient.