Velocity Profile Based Recognition of Dynamic Gestures with Discrete Hidden Markov Models
Proceedings of the International Gesture Workshop on Gesture and Sign Language in Human-Computer Interaction
Layered Representations for Human Activity Recognition
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Computational support to record and re-experience visits
Personal and Ubiquitous Computing
Gesture spotting using wrist worn microphone and 3-axis accelerometer
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
Analyzing features for activity recognition
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
Accelerometer-based gesture control for a design environment
Personal and Ubiquitous Computing
Unsupervised clustering of ambulatory audio and video
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Dealing with sensor displacement in motion-based onbody activity recognition systems
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Multi Activity Recognition Based on Bodymodel-Derived Primitives
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Recognizing short duration hand movements from accelerometer data
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Coming to grips with the objects we grasp: detecting interactions with efficient wrist-worn sensors
Proceedings of the fourth international conference on Tangible, embedded, and embodied interaction
Recognition of hand movements using wearable accelerometers
Journal of Ambient Intelligence and Smart Environments
Recognition of coupling-paired activities in daily life
Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments
Recognition of hand movements using wearable accelerometers
Journal of Ambient Intelligence and Smart Environments
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Activity recognition has gained a lot of interest in recent years due to its potential and usefulness for context-aware computing. Most approaches for activity recognition focus on repetitive or long time patterns within the data. There is however high interest in recognizing very short activities as well, such as pushing and pulling an oil stick or opening an oil container as sub-tasks of checking the oil level in a car. This paper presents a method for the latter type of activity recognition using start and end postures (short fixed positions of the wrist) in order to identify segments of interest in a continuous data stream. Experiments show high discriminative power for using postures to recognize short activities in continuous recordings. Additionally, classifications using postures and HMMs for recognition are combined.