Patents by Inventor Melvin Mcinnis

Melvin Mcinnis has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Automatic speech-based longitudinal emotion and mood recognition for mental health treatment
    Patent number: 11545173
    Abstract: A method of predicting a mood state of a user may include recording an audio sample via a microphone of a mobile computing device of the user based on the occurrence of an event, extracting a set of acoustic features from the audio sample, generating one or more emotion values by analyzing the set of acoustic features using a trained machine learning model, and determining the mood state of the user, based on the one or more emotion values. In some embodiments, the audio sample may be ambient audio recorded periodically, and/or call data of the user recorded during clinical calls or personal calls.
    Type: Grant
    Filed: August 30, 2019
    Date of Patent: January 3, 2023
    Assignee: THE REGENTS OF THE UNIVERSITY OF MICHIGAN
    Inventors: Emily Mower Provost, Melvin McInnis, John Henry Gideon, Katherine Anne Matton, Soheil Khorram
  • AUTOMATIC SPEECH-BASED LONGITUDINAL EMOTION AND MOOD RECOGNITION FOR MENTAL HEALTH TREATMENT
    Publication number: 20200075040
    Abstract: A method of predicting a mood state of a user may include recording an audio sample via a microphone of a mobile computing device of the user based on the occurrence of an event, extracting a set of acoustic features from the audio sample, generating one or more emotion values by analyzing the set of acoustic features using a trained machine learning model, and determining the mood state of the user, based on the one or more emotion values. In some embodiments, the audio sample may be ambient audio recorded periodically, and/or call data of the user recorded during clinical calls or personal calls.
    Type: Application
    Filed: August 30, 2019
    Publication date: March 5, 2020
    Inventors: Emily Mower Provost, Melvin McInnis, John Henry Gideon, Katherine Anne Matton, Soheil Khorram
  • Mood monitoring of bipolar disorder using speech analysis
    Patent number: 9685174
    Abstract: A system that monitors and assesses the moods of subjects with neurological disorders, like bipolar disorder, by analyzing normal conversational speech to identify speech data that is then analyzed through an automated speech data classifier. The classifier may be based on a vector, separator, hyperplane, decision boundary, or other set of rules to classify one or more mood states of a subject. The system classifier is used to assess current mood state, predicted instability, and/or a change in future mood state, in particular for subjects with bipolar disorder.
    Type: Grant
    Filed: May 1, 2015
    Date of Patent: June 20, 2017
    Assignee: THE REGENTS OF THE UNIVERSITY OF MICHIGAN
    Inventors: Zahi N. Karam, Satinder Singh Baveja, Melvin Mcinnis, Emily Mower Provost
  • MOOD MONITORING OF BIPOLAR DISORDER USING SPEECH ANALYSIS
    Publication number: 20150318002
    Abstract: A system that monitors and assesses the moods of subjects with neurological disorders, like bipolar disorder, by analyzing normal conversational speech to identify speech data that is then analyzed through an automated speech data classifier. The classifier may be based on a vector, separator, hyperplane, decision boundary, or other set of rules to classify one or more mood states of a subject. The system classifier is used to assess current mood state, predicted instability, and/or a change in future mood state, in particular for subjects with bipolar disorder.
    Type: Application
    Filed: May 1, 2015
    Publication date: November 5, 2015
    Inventors: Zahi N. Karam, Satinder Singh Baveja, Melvin Mcinnis