Nonparametric Activity Recognition System in Smart Homes Based on Heterogeneous Sensor Data

Wu, Chen; Chen, Ya-Hung; Chien, Yi-Wei; Tsai, Meng Jung; Li, Ting-Ying; Cheng, Ping; Fu, Li‐Chen; Chen, Chia‐Hui

doi:10.1109/tase.2018.2846795

Cited by 8 publications

(3 citation statements)

References 29 publications

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“…In the domain of technological approaches aiming at the automatic recognition of ADL, it is common to distinguish between solutions that rely on the use of cameras (video-based ones) and/or depth sensors (in addition to microphones that are usually integrated in cameras; Pires et al 2018 ; 2019 ), and sensor-based solutions without visual information (e.g., Gambi et al 2020 ; Wu et al 2019 ). In this section, we consider two approaches: The former describes visual information that is exploited for automatic recognition of ADL and proper privacy-preserving solutions (3.2.1).…”

Section: Realization Of Pbd Approach Using Exemplary Lifelogging Appl...mentioning

confidence: 99%

Interdisciplinary perspectives on privacy awareness in lifelogging technology development

Wilkowska

Heek

Colonna

et al. 2022

J Ambient Intell Human Comput

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Population aging resulting from demographic changes requires some challenging decisions and necessary steps to be taken by different stakeholders to manage current and future demand for assistance and support. The consequences of population aging can be mitigated to some extent by assisting technologies that can support the autonomous living of older individuals and persons in need of care in their private environments as long as possible. A variety of technical solutions are already available on the market, but privacy protection is a serious, often neglected, issue when using such (assisting) technology. Thus, privacy needs to be thoroughly taken under consideration in this context. In a three-year project PAAL (‘Privacy-Aware and Acceptable Lifelogging Services for Older and Frail People’), researchers from different disciplines, such as law, rehabilitation, human-computer interaction, and computer science, investigated the phenomenon of privacy when using assistive lifelogging technologies. In concrete terms, the concept of Privacy by Design was realized using two exemplary lifelogging applications in private and professional environments. A user-centered empirical approach was applied to the lifelogging technologies, investigating the perceptions and attitudes of (older) users with different health-related and biographical profiles. The knowledge gained through the interdisciplinary collaboration can improve the implementation and optimization of assistive applications. In this paper, partners of the PAAL project present insights gained from their cross-national, interdisciplinary work regarding privacy-aware and acceptable lifelogging technologies.

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Section: Realization Of Pbd Approach Using Exemplary Lifelogging Appl...mentioning

confidence: 99%

Interdisciplinary perspectives on privacy awareness in lifelogging technology development

Wilkowska

Heek

Colonna

et al. 2022

J Ambient Intell Human Comput

View full text Add to dashboard Cite

show abstract

“…Many proposed solutions try to build a high correlation. For example, Chao-Lin Wu et al have presented an activity recognition system which adopts the wearable devices to identify the user [27]. Minh-Son et al have adopted the voice biometrics to identify resident [14,25].…”

Section: Introductionmentioning

confidence: 99%

Multi-resident type recognition based on ambient sensors activity

Huangfu

Farha

et al. 2020

Future Generation Computer Systems

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With the development of sensing and intelligent technologies, ambient sensor-based activity recognition is attracting more attention for a wide range of applications. One of the technology challenges is the recognition of the activity performer in a multi-occupancy scenario. This paper proposes a multilabel Markov Logic Network classification method to recognize resident types based on their activity habits and preference. The activity preference mainly includes time sequence preference, duration and period preference, and the location preference of a basic entity or action events. According to the resident type (gender, age bracket, job), the further reasoning work is the family role (mother, father, daughter and so on.) recognition. We have designed simple and combined preferences to test and evaluate our proposed method. Initial experiments have produced good performance in many cases proving this solution is an efficient and feasible method for resident type recognition which could be applied to real-world scenarios.

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“…Smart automation is used primarily for patient monitoring [1], activity recognition [2,3] and energy management [4,5]. Though smart automation is now made possible with the enormous growth in Internet of Things (IoT); it faces three main difficulties, namely device heterogeneity, inconsistency and conflicting decisions [6].…”

Section: Introductionmentioning

confidence: 99%

Design, Implementation and Power Analysis of Pervasive Adaptive Resourceful Smart Lighting and Alerting Devices in Developing Countries Supporting Incandescent and LED Light Bulbs

Raju

Mahalingam

Rajendran

2019

Sensors

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Nowadays, there is an increasing demand for energy saving techniques in residential, industrial, institutional, clinical and other multipurpose indoor and outdoor applications. Lights play an ubiquitous role around the Earth in all types of structures and outdoor surroundings. Hence, the authors propose a universal lighting control device—named Pervasive Adaptive Resourceful Smart Lighting and Alerting Device—accomplished mainly by the use of Arduino UNO R3. The Pervasive Adaptive Resourceful Smart Lighting and Alerting Device works in two modes, namely, light control and alert, by deploying the perceptive light automation and perceptive light automation with buzzer activation algorithms, respectively. The contributions of the paper are: a common lighting control solution for both incandescent and light emitting diode light bulbs for all indoor and outdoor environments. A profound power consumption analysis, and investigation of the proposed device by estimating the Energy Consumption Ratio (ECR) and Relative Energy Saving Ratio (RESR) through the real time deployment in diverse circumstances with 60 W incandescent, 8 W and 0.5 W LED light bulbs is executed. In addition to the evaluation of RESR and ECR characteristics the power consumption of light bulbs in terms of scalable conditions of number of light bulbs is also analyzed. The proposed model is proved to work efficiently for both incandescent and LED light bulbs.

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Nonparametric Activity Recognition System in Smart Homes Based on Heterogeneous Sensor Data

Cited by 8 publications

References 29 publications

Interdisciplinary perspectives on privacy awareness in lifelogging technology development

Interdisciplinary perspectives on privacy awareness in lifelogging technology development

Multi-resident type recognition based on ambient sensors activity

Design, Implementation and Power Analysis of Pervasive Adaptive Resourceful Smart Lighting and Alerting Devices in Developing Countries Supporting Incandescent and LED Light Bulbs

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