Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
An HMM-Based Threshold Model Approach for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mediacups: experience with design and use of computer-augmented everyday artefacts
Computer Networks: The International Journal of Computer and Telecommunications Networking - pervasive computing
CCSC '01 Proceedings of the sixth annual CCSC northeastern conference on The journal of computing in small colleges
Context Acquisition Based on Load Sensing
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
Using Low-Cost Sensing to Support Nutritional Awareness
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
Fine-Grained Activity Recognition by Aggregating Abstract Object Usage
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Using Ultrasonic Hand Tracking to Augment Motion Analysis Based Recognition of Manipulative Gestures
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Detection of eating and drinking arm gestures using inertial body-worn sensors
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Identification of Temporal Sequences in Chewing Sounds
BIBM '07 Proceedings of the 2007 IEEE International Conference on Bioinformatics and Biomedicine
Evaluating performance in continuous context recognition using event-driven error characterisation
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
The diet-aware dining table: observing dietary behaviors over a tabletop surface
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Analysis of chewing sounds for dietary monitoring
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
Guest editorial: Wearable computing and artificial intelligence for healthcare applications
Artificial Intelligence in Medicine
Toward technologies that support family reflections on health
Proceedings of the ACM 2009 international conference on Supporting group work
Context-Aware Activity Recognition through a Combination of Ontological and Statistical Reasoning
UIC '09 Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Automatic event-based synchronization of multimodal data streams from wearable and ambient sensors
EuroSSC'09 Proceedings of the 4th European conference on Smart sensing and context
COSAR: hybrid reasoning for context-aware activity recognition
Personal and Ubiquitous Computing
Swallow sound analysis for automated ingestion detection
Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments
Tool use as gesture: new challenges for maintenance and rehabilitation
BCS '10 Proceedings of the 24th BCS Interaction Specialist Group Conference
Active capacitive sensing: exploring a new wearable sensing modality for activity recognition
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Daily living activity recognition based on statistical feature quality group selection
Expert Systems with Applications: An International Journal
Making gestural input from arm-worn inertial sensors more practical
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Personal and Ubiquitous Computing
Complex activity recognition using context-driven activity theory and activity signatures
ACM Transactions on Computer-Human Interaction (TOCHI)
A Study of Temporal Action Sequencing During Consumption of a Meal
Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
ChAirGest: a challenge for multimodal mid-air gesture recognition for close HCI
Proceedings of the 15th ACM on International conference on multimodal interaction
International Journal of Human-Computer Studies
Hi-index | 0.00 |
Objective: An imbalanced diet elevates health risks for many chronic diseases including obesity. Dietary monitoring could contribute vital information to lifestyle coaching and diet management, however, current monitoring solutions are not feasible for a long-term implementation. Towards automatic dietary monitoring, this work targets the continuous recognition of dietary activities using on-body sensors. Methods: An on-body sensing approach was chosen, based on three core activities during intake: arm movements, chewing and swallowing. In three independent evaluation studies the continuous recognition of activity events was investigated and the precision-recall performance analysed. An event recognition procedure was deployed, that addresses multiple challenges of continuous activity recognition, including the dynamic adaptability for variable-length activities and flexible deployment by supporting one to many independent classes. The approach uses a sensitive activity event search followed by a selective refinement of the detection using different information fusion schemes. The method is simple and modular in design and implementation. Results: The recognition procedure was successfully adapted to the investigated dietary activities. Four intake gesture categories from arm movements and two food groups from chewing cycle sounds were detected and identified with a recall of 80-90% and a precision of 50- 64%. The detection of individual swallows resulted in 68% recall and 20% precision. Sample-accurate recognition rates were 79% for movements, 86% for chewing and 70% for swallowing. Conclusions: Body movements and chewing sounds can be accurately identified using on-body sensors, demonstrating the feasibility of on-body dietary monitoring. Further investigations are needed to improve the swallowing spotting performance.