One-Class Classification-Based Real-Time Activity Error Detection in Smart Homes

Barnan Das; Diane J Cook; Narayanan C Krishnan; Maureen Schmitter-Edgecombe

doi:10.1109/JSTSP.2016.2535972

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One-Class Classification-Based Real-Time Activity Error Detection in Smart Homes

Journal article

Open access

One-Class Classification-Based Real-Time Activity Error Detection in Smart Homes

Barnan Das, Diane J Cook, Narayanan C Krishnan and Maureen Schmitter-Edgecombe

IEEE journal of selected topics in signal processing, Vol.10(5), pp.914-923

08/2016

DOI: https://doi.org/10.1109/JSTSP.2016.2535972

Handle:

https://hdl.handle.net/2376/115529

PMCID: PMC5061461

PMID: 27746849

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Abstract

Temperature measurement

Signal processing algorithms

Psychology

Smart homes

Streaming media

one-class classification

Real-time systems

machine learning

Dementia

activity recognition

Caring for individuals with dementia is frequently associated with extreme physical and emotional stress, which often leads to depression. Smart home technology and advances in machine learning techniques can provide innovative solutions to reduce caregiver burden. One key service that caregivers provide is prompting individuals with memory limitations to initiate and complete daily activities. We hypothesize that sensor technologies combined with machine learning techniques can automate the process of providing reminder-based interventions. The first step toward automated interventions is to detect when an individual faces difficulty with activities. We propose machine learning approaches based on one-class classification that learn normal activity patterns. When we apply these classifiers to activity patterns that were not seen before, the classifiers are able to detect activity errors, which represent potential prompt situations. We validate our approaches on smart home sensor data obtained from older adult participants, some of whom faced difficulties performing routine activities and thus committed errors.

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Title: One-Class Classification-Based Real-Time Activity Error Detection in Smart Homes
Creators: Barnan Das - Intel Corp., Santa Clara, CA, USA
Diane J Cook - Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Narayanan C Krishnan - Dept. of Comput. Sci. & Eng., Indian Inst. of Technol. Ropar, Rupnagar, India
Maureen Schmitter-Edgecombe - Dept. of Psychol., Washington State Univ., Pullman, WA, USA
Publication Details: IEEE journal of selected topics in signal processing, Vol.10(5), pp.914-923
Academic Unit: Psychology, Department of; Electrical Engineering and Computer Science, School of
Publisher: IEEE
Grant note: 1262814; 1064628 / National Science Foundation (10.13039/100000001)
Identifiers: 99900548146901842
Language: English
Resource Type: Journal article