Exercise as prevention
Recognize early, take targeted action and maintain long-term health.
When movements:
this can lead to discomfort in the long term - even if you „actually move enough“. AIMO helps to recognize these deviations at an early stage and shows how to counteract them in everyday life.
Moving well is not a question of performance, but of Perception, control and quality. Learning to perform movements consciously and cleanly relieves the body and creates the basis for long-term health.
AIMO supports you in this, Understanding movement better. Through targeted impulses, short sessions and regular feedback, you will gradually develop more confidence, stability and trust in your own body.
This does not make exercise more strenuous - but more intelligent.
AIMO combines three central levels of action:
The AIMO movement scan detects functional movement deviations at an early stage.
The training routines are designed for quality of movement, not performance:
Users experience clear feedback, free time management and achievable goals:
The result is more confidence in movement, less excessive demands and more trust in your own body.
The evaluation study on „AIMO healthy movement“ shows:
The following were examined:
AIMO does not work via pressure or specifications,
but about Building competence and confidence in your own movement.
[1] Basics for the automated assessment of insufficiencies of the musculoskeletal system
Dressler D., Liapota P, Löwe W. Towards an Automated Assessment of Musculoskeletal Insufficiencies. In: Czarnowski I., Howlett R., Jain L. (eds) Intelligent Decision Technologies 2019. Smart Innovation, Systems and Technologies, 2019. Singapore. Springer; 2019 vol. 142 p. 251-61. doi: 10.1007/978-981-13-8311-3_22
[2] Data-supported automated assessment of insufficiencies of the musculoskeletal system
Dressler D, Liapota P, Löwe W. Data Driven Human Movement Assessment. In: Czarnowski I, Howlett R, Jain L (eds.). Proceedings of the 11th KES International Conference on Intelligent Decision Technologies (IDT): Smart Innovation, Systems and Technologies Series. Singapore. Springer: 2019 vol. 143. doi: 10.1007/978-981-13-8303- 8_29
[3] The effect of choosing different machine learning approaches on the assessment of human movements
Hagelbäck J, Liapota P, Lincke A, Löwe W. The Performance of some Machine Learning Approaches in Human Movement Assessment. In: Macedo M, Rodrigues L (eds.). Proceedings of the 13th Multi Conference on Computer Science and Information systems (MCCSIS). Porto, Portugal. IADIS Press; 2019 p. 35-42. ISBN: 978-989-8533-89-0
[4] Variants of dynamic time warping and its effect on the assessment of human movements
Hagelbäck, J., P. Liapota, A. Lincke and W. Löwe (2019b). Variants of Dynamic Time Warping and their Performance in Human Movement Assessment. The 21st Int'l Conf on Artificial Intelligence co-located with The 2019 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE’19). Las Vegas, Nevada, USA.
[5] Introduction of quality models based on multidimensional probabilities; mathematical foundations for the Aimo™–Score
Ulan, M., W. Löwe, M. Ericsson and A. Wingkvist (2018a). Introducing quality models based on joint probabilities. 40th International Conference on Software Engineering: Companion Proceedings, ICSE 2018, Gothenburg, Sweden: pp 216-217.
[6] Interactive visualization of score calculation models based on multidimensional probability distribution; mathematical foundations for the Aimo™–Score
Ulan, M., S. Hönel, R. M. Martins, M. Ericsson, W. Löwe, A. Wingkvist and A. Kerren (2018b). Quality Models Inside Out: Interactive Visualization of Software Metrics by Means of Joint Probabilities. 2018 IEEE Working Conference on Software Visualization (VISSOFT): pp 65-75.
[7] For the compatibility of different 3D camera technologies
Hagelbäck, J., A. Lincke, W. Löwe and E. Rall (2019c). On the Agreement of Commodity 3D Cameras. The 23rd Int'l Conference on Image Processing, Computer Vision, and Pattern Recognition co-located with The 2019 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE’19). Las Vegas, Nevada, USA.
[8] Application of the Aimo™–Score in elderly care
Backåberg, Sofia, Amanda Hellström, Cecilia Fagerström, Anders Halling, Alisa Lincke, Welf Löwe and Mirjam Ekstedt (2020). Evaluation of the skeleton avatar technique for easy assessment of mobility and balance among older adults. Frontiers in Computer Science, section Digital Public Health; 12/2020
[9] Advanced quality models based on multidimensional probabilities; mathematical foundations for the Aimo™–Score
Ulan, M., W. Löwe, M. Ericsson and A. Wingkvist (2021). Copula-based Software Metrics Aggregation. Software Quality Journal (Springer), 8/2021
[10] Pre-processing of motion captures for visualization and Aimo™ scoring
Gauss, Joela, Ch. Brandin, A. Heberle and W. Löwe (2021). Smoothing Skeleton Avatar Videos using Signal Processing Technology. Springer Nature Computer Science, 2(429)
[11] Weighted quality models based on multidimensional probabilities; mathematical foundations for the Aimo™–Score
Ulan, M., W. Löwe, M. Ericsson and A. Wingkvist (2021). Weighted Software Quality Scoring and its Application to Defect Prediction. Empirical Software Engineering (Springer), 26(86)
[12] Application of the Aimo™ score as a measurement tool for physical activity in older people
Alisa Lincke, Cecilia Fagerström, Mirjam Ekstedt, Welf Löwe, and Sofia Backåerg (2021). Skeleton avatar technology as a way to measure physical activity in healthy older adults, Informatics in Medicine Unlocked (Elsevier), 24(100609)
Suitable for every situation
Personalized routines for more mindfulness, strength & flexibility, running, to sweat and relax, and to improve body awareness.