Projects per year
Project Details
Description
This pilot project combines machine learning and wearable sensing devices to develop intuitive audiovisual displays that accurately reflect physical activity and the felt experience of human movement. Tracking human motion is important for a range of activities and applications, from dance and music performance to rehabilitation and human-robot interaction. Wearable devices using physiological sensor data capture precise information about muscle activity, but provide very little information about how a person feels during the activity. This project combines a real-time interactive audiovisual system and machine learning techniques to develop algorithms that impart additional high-level information about the mover’s emotional and affective states. The goal is to improve algorithms for movement and effort tracking by incorporating people’s felt experience of movement.
Short title | ImprovAIze |
---|---|
Status | Finished |
Effective start/end date | 01/09/2022 → 31/12/2022 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Projects
- 1 Active
-
AHH: Cluster: Arts, Health and Humanities
Glintborg, C. (Project Participant), Hejlesen, I. F. (Project Participant), Jacobsen, S. L. (Project Participant), Jochum, E. (PI) & Skov, S. (PI)
24/03/2022 → …
Project: Research
-
Pruning Deep Neural Network Models of Guitar Distortion Effects
Südholt, D., Wright, A., Erkut, C. & Välimäki, V., 2023, In: IEEE/ACM Transactions on Audio, Speech, and Language Processing. 31, 99, p. 256–264 9 p., 9954902.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile6 Citations (Scopus)120 Downloads (Pure) -
Dance and Movement-Led Research for Designing and Evaluating Wearable Human-Computer Interfaces
Otterbein, R., Jochum, E., Overholt, D., Bai, S. & Dalsgaard, A., 22 Jun 2022, Proceedings of 2022 8th International Conference on Movement and Computing, MOCO 2022: MOCO 2022. Chicago, IL. USA: Association for Computing Machinery (ACM), 14 p. 9. (ACM International Conference Proceeding Series, Vol. Par F180475).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
5 Citations (Scopus) -
Exploring felt qualities of embodied interaction with movement and sound
Erkut, C., Rajala-Erkut, A. & Dahl, S., 2015, Arts and Technology: Fourth International Conference, ArtsIT 2014, Istanbul, Turkey, November 10-12, 2014, Revised Selected Papers. Brooks, A. L., Ayiter, E. & Yazicigil, O. (eds.). Springer, p. 77-85 9 p. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Vol. 145).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
2 Citations (Scopus)