We defined our research programme jointly by science and industry with a focus on human motion data analysis concentrating on assessing the quality of motion. The aim of the project is to measure and interpret motion and emotion through multi-sensor fusion – considering biomechanical, contextual and psychophysiological parameters. In particular, DiMo focuses on technological development for applications under real conditions.
Motion Data Intelligence
We contribute to the understanding and assessment of the quality of human motion by covering aims oriented towards the industry-driven use cases, i.e. walking, running and alpine skiing . Our claim is to provide near real-time concepts and algorithms for the entire process from motion quantity to motion quality by considering multimodal sensing techniques related to biomechanics, context, and psychophysiological state, and by addressing the challenges of data generation and interpretation in the ecologically valid environment (in the field).
Motion Data Interaction
DiMo contributes to the understanding how a user may interact with qualified motion data (motion quality information) based on motion and emotion in real-time without interfering with the primary task. We argue that interaction design for a user in motion needs to respect not only the user, but the exercise as a primary task and the full context of the exertion.
Motion Data Demonstrators
Smart Equipment Customization:
We envision to support users in product selection and individualization based on multi-sensor data feedback, enabling consumers to select and even to individually produce and/or customize their personal sports equipment right in the store.
Digital experience during sports:
Based on user values, models and sensor concepts, we envision to assess the quality of movement, providing consumers with useful and motivating real-time feedback and offline feedback of their physical activities and communicate it through novel seamless interaction concepts.