Abstract
This study investigates the use of accelerometer data
from a smart watch to infer an individual’s emotional
state. We present our preliminary findings on a user
study with 50 participants. Participants were primed
either with audio-visual (movie clips) or audio (classical
music) to elicit emotional responses. Participants then
walked while wearing a smart watch on one wrist and a heart rate strap on their chest. Our hypothesis is that the accelerometer signal will exhibit different patterns for participants in response to different emotion priming. We divided the accelerometer data using sliding windows, extracted features from each window, and used the features to train supervised machine learning algorithms to infer an individual’s emotion from their walking pattern. Our discussion includes a description of the methodology, data collected, and early results.
from a smart watch to infer an individual’s emotional
state. We present our preliminary findings on a user
study with 50 participants. Participants were primed
either with audio-visual (movie clips) or audio (classical
music) to elicit emotional responses. Participants then
walked while wearing a smart watch on one wrist and a heart rate strap on their chest. Our hypothesis is that the accelerometer signal will exhibit different patterns for participants in response to different emotion priming. We divided the accelerometer data using sliding windows, extracted features from each window, and used the features to train supervised machine learning algorithms to infer an individual’s emotion from their walking pattern. Our discussion includes a description of the methodology, data collected, and early results.
| Original language | English |
|---|---|
| Publication status | Published - 2017 |
| Event | Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers - Maui, United States Duration: 11 Sept 2017 → 15 Oct 2017 |
Conference
| Conference | Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers |
|---|---|
| Country/Territory | United States |
| Period | 11/09/17 → 15/10/17 |