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All Outputs (8)

Personalised human activity recognition using matching networks. (2018)
Conference Proceeding
SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2018. Personalised human activity recognition using matching networks. In Cox, M.T., Funk, P. and Begum, S. (eds.) Case-based reasoning research and development: proceedings of the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Lecture notes in computer science, 11156. Cham: Springer [online], pages 339-353. Available from: https://doi.org/10.1007/978-3-030-01081-2_23

Human Activity Recognition (HAR) is typically modelled as a classification task where sensor data associated with activity labels are used to train a classifier to recognise future occurrences of these activities. An important consideration when trai... Read More about Personalised human activity recognition using matching networks..

Improving kNN for human activity recognition with privileged learning using translation models. (2018)
Conference Proceeding
WIJEKOON, A., WIRATUNGA, N., SANI, S., MASSIE, S. and COOPER, K. 2018. Improving kNN for human activity recognition with privileged learning using translation models. In Cox, M.T., Funk, P. and Begum, S. (eds.) Case-based reasoning research and development: proceedings of the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Lecture notes in computer science, 11156. Cham: Springer [online], pages 448-463. Available from: https://doi.org/10.1007/978-3-030-01081-2_30

Multiple sensor modalities provide more accurate Human Activity Recognition (HAR) compared to using a single modality, yet the latter is preferred by consumers as it is more convenient and less intrusive. This presents a challenge to researchers, as... Read More about Improving kNN for human activity recognition with privileged learning using translation models..

Variation in lifting kinematics related to individual intrinsic lumbar curvature: an investigation in healthy adults. (2018)
Journal Article
PAVLOVA, A.V., MEAKIN, J.R., COOPER, K., BARR, R.J. and ASPDEN, R.M. 2018. Variation in lifting kinematics related to individual intrinsic lumbar curvature: an investigation in healthy adults. BMJ open sport and exercise medicine [online], 4(1), article number 000374. Available from: https://doi.org/10.1136/bmjsem-2018-000374

Objective: Lifting postures are frequently implicated in back pain. We previously related responses to a static load with intrinsic spine shape, and here we investigate the role of lumbar spine shape in lifting kinematics. Methods: Thirty healthy adu... Read More about Variation in lifting kinematics related to individual intrinsic lumbar curvature: an investigation in healthy adults..

Matching networks for personalised human activity recognition. (2018)
Conference Proceeding
SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2018. Matching networks for personalised human activity recognition. In Bichindaritz, I., Guttmann, C., Herrero, P., Koch, F., Koster, A., Lenz, R., López Ibáñez, B., Marling, C., Martin, C., Montagna, S., Montani, S., Reichert, M., Riaño, D., Schumacher, M.I., ten Teije, A. and Wiratunga, N. (eds.) Proceedings of the 1st Joint workshop on artificial intelligence in health, organized as part of the Federated AI meeting (FAIM 2018), co-located with the 17th International conference on autonomous agents and multiagent systems (AAMAS 2018), the 35th International conference on machine learning (ICML 2018), the 27th International joint conference on artificial intelligence (IJCAI 2018), and the 26th International conference on case-based reasoning (ICCBR 2018), 13-19 July 2018, Stockholm, Sweden. CEUR workshop proceedings, 2142. Aachen: CEUR-WS [online], pages 61-64. Available from: http://ceur-ws.org/Vol-2142/short4.pdf

Human Activity Recognition (HAR) has many important applications in health care which include management of chronic conditions and patient rehabilitation. An important consideration when training HAR models is whether to use training data from a gene... Read More about Matching networks for personalised human activity recognition..

Study of similarity metrics for matching network-based personalised human activity recognition. (2018)
Presentation / Conference
SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2018. Study of similarity metrics for matching network-based personalised human activity recognition. In Minor, M. (ed.) Workshop proceedings for the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden, pages 91-95. Available from: http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=91

Personalised Human Activity Recognition (HAR) models trained using data from the target user (subject-dependent) have been shown to be superior to non personalised models that are trained on data from a general population (subject-independent). Howev... Read More about Study of similarity metrics for matching network-based personalised human activity recognition..

Effectiveness of interventions for preventing occupational irritant hand dermatitis: a quantitative systematic review. (2018)
Journal Article
PAPADATOU, Z., WILLIAMS, H. and COOPER, K. 2018. Effectiveness of interventions for preventing occupational irritant hand dermatitis: a quantitative systematic review. JBI database of systematic reviews and implementation reports [online], 16(6), pages 1398-1417. Available from: https://doi.org/10.11124/JBISRIR-2017-003405

Background: - The most significant occupational skin problem potentially encountered in wet work occupations is occupational dermatitis. When the skin comes into contact with hazardous substances at work, this can cause occupational dermatitis to occ... Read More about Effectiveness of interventions for preventing occupational irritant hand dermatitis: a quantitative systematic review..

Weight loss interventions for adults with overweight/obesity and chronic musculoskeletal pain: a mixed methods systematic review. (2018)
Journal Article
COOPER, L., RYAN, C., ELLS, L.J., HAMILTON, S., ATKINSON, G., COOPER, K., JOHNSON, M.I., KIRWAN, J.P. and MARTIN, D. 2018. Weight loss interventions for adults with overweight/obesity and chronic musculoskeletal pain: a mixed methods systematic review. Obesity reviews [online], 19(7), pages 989-1007. Available from: https://doi.org/10.1111/obr.12686

Worldwide prevalence of adult overweight and obesity is a growing public health issue. Adults with overweight/obesity often have chronic musculoskeletal pain (CMP). Using a mixed-methods review, we aimed to quantify the effectiveness and explore the... Read More about Weight loss interventions for adults with overweight/obesity and chronic musculoskeletal pain: a mixed methods systematic review..

Components, skills and training for conducting initial telephone consultations in primary care: a scoping review protocol. (2018)
Other
COOPER, K. and ALEXANDER, L. 2018. Components, skills and training for conducting initial telephone consultations in primary care: a scoping review protocol. [Protocol]. JBI database of systematic reviews and implementation reports [online], 16(5), pages 1126-1134. Available from: https://doi.org/10.11124/JBISRIR-2017-003527

Review objective/question: The objective of this scoping review is to examine the characteristics of initial telephone consultations conducted in primary care settings and to map the existing evidence on the components, skills and training recommende... Read More about Components, skills and training for conducting initial telephone consultations in primary care: a scoping review protocol..