An Inertial Measurement Framework for Gesture Recognition and Applications
GW '01 Revised Papers from the International Gesture Workshop on Gesture and Sign Languages in Human-Computer Interaction
Segmentation of Intentional Human Gestures for Sports Video Annotation
MMM '04 Proceedings of the 10th International Multimedia Modelling Conference
Inferring Activities from Interactions with Objects
IEEE Pervasive Computing
Adaptive and fault tolerant medical vest for life-critical medical monitoring
Proceedings of the 2005 ACM symposium on Applied computing
Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers
IEEE Transactions on Pattern Analysis and Machine Intelligence
A compact, high-speed, wearable sensor network for biomotion capture and interactive media
Proceedings of the 6th international conference on Information processing in sensor networks
Segmentation and recognition of motion streams by similarity search
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Proceedings of the 1st ACM SIGMOBILE international workshop on Systems and networking support for healthcare and assisted living environments
Comparative study of segmentation of periodic motion data for mobile gait analysis
WH '10 Wireless Health 2010
Simple and robust BSN-based activity classification: winning the first BSN contest
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
An adaptive approach for online segmentation of multi-dimensional mobile data
MobiDE '12 Proceedings of the Eleventh ACM International Workshop on Data Engineering for Wireless and Mobile Access
Automatic Segmentation and Recognition in Body Sensor Networks Using a Hidden Markov Model
ACM Transactions on Embedded Computing Systems (TECS) - Special Section on CAPA'09, Special Section on WHS'09, and Special Section VCPSS' 09
Mixture modeling of gait patterns from sensor data
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
Latent space segmentation for mobile gait analysis
ACM Transactions on Embedded Computing Systems (TECS) - Special Section on Wireless Health Systems, On-Chip and Off-Chip Network Architectures
A tutorial on human activity recognition using body-worn inertial sensors
ACM Computing Surveys (CSUR)
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Monitoring human activities using wearable wireless sensor nodes has the potential to enable many useful applications for everyday situations. The long-term lifestyle monitoring can greatly improve healthcare by gathering information about quality of life; aiding the diagnosis and tracking of certain diseases such as Parkinson's. The deployment of an automatic and computationally-efficient algorithm reduces the complexities involved in the detection and recognition of human activities in a distributed system. This paper presents a new algorithm for automatic segmentation of routine human activities. The proposed algorithm can distinguish between discrete periods of activity and rest without specifically knowing the activity. A finite subset of nodes can detect all human activities, but each node by itself can only detect a particular set of activities. For local segmentation we choose the parameters for each node that result in the least segmentation error. We demonstrate the effectiveness of our algorithm on data collected from body sensor networks for a scenario simulating a set of daily activities.