Detecting emotions through non-invasive wearables
نویسندگان
چکیده
منابع مشابه
Using Non-invasive Wearables for Detecting Emotions with Intelligent Agents
This paper proposes the use of intelligent wristbands for the automatic detection of emotional states in order to develop an application which allows to extract, analyze, represent and manage the social emotion of a group of entities. Nowadays, the detection of the joined emotion of an heterogeneous group of people is still an open issue. Most of the existing approaches are centered in the emot...
متن کاملDetecting Emotions in Speech
Human language carries various kinds of information. In human computer interaction the detection of the emotional state of a speaker as re ected in his or her utterances is crucial. In this investigation we will explore how acoustic and prosodic information can be used to detect the emotional state of a speaker. We will show how prosodic information can be combined and integrated with acoustic ...
متن کاملAPC Forum: Extending Business Values through Wearables
When physical objects are connected to the Internet, they can identify themselves to other devices and exchange data automatically and seamlessly. When people adopt emerging wearable devices that are connected to the Internet, opportunities are created for organizations and individuals that can surpass the impact of even the most significant technologies of the Industrial Revolution and its aft...
متن کاملDetecting Emotions in Mandarin Speech
In this paper, a Mandarin speech based emotion classification method is presented. Five primary human emotions including anger, boredom, happiness, neutral and sadness are investigated. For speech emotion recognition, we select 16 LPC coefficients, 12 LPCC components, 16 LFPC components, 16 PLP coefficients, 20 MFCC components and jitter as the basic features to form the feature vector. Two tex...
متن کاملDetecting Changing Emotions in Natural Speech
The goal of this research, was to develop a system that will automatically measure changes in the emotional state of a speaker, by analyzing his/her voice. Natural (non-acted) human speech of 77 (Dutch) speakers was collected and manually splitted into speech units. Three recordings per speaker were collected, in which he/she was in a positive, neutral and negative state. For each recording, th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Logic Journal of the IGPL
سال: 2018
ISSN: 1367-0751,1368-9894
DOI: 10.1093/jigpal/jzy025